literature review research assistant

Something went wrong when searching for seed articles. Please try again soon.

No articles were found for that search term.

Author, year The title of the article goes here

LITERATURE REVIEW SOFTWARE FOR BETTER RESEARCH

literature review research assistant

“This tool really helped me to create good bibtex references for my research papers”

Ali Mohammed-Djafari

Director of Research at LSS-CNRS, France

“Any researcher could use it! The paper recommendations are great for anyone and everyone”

Swansea University, Wales

“As a student just venturing into the world of lit reviews, this is a tool that is outstanding and helping me find deeper results for my work.”

Franklin Jeffers

South Oregon University, USA

“One of the 3 most promising tools that (1) do not solely rely on keywords, (2) does nice visualizations, (3) is easy to use”

Singapore Management University

“Incredibly useful tool to get to know more literature, and to gain insight in existing research”

KU Leuven, Belgium

“Seeing my literature list as a network enhances my thinking process!”

Katholieke Universiteit Leuven, Belgium

“I can’t live without you anymore! I also recommend you to my students.”

Professor at The Chinese University of Hong Kong

“This has helped me so much in researching the literature. Currently, I am beginning to investigate new fields and this has helped me hugely”

Aran Warren

Canterbury University, NZ

“It's nice to get a quick overview of related literature. Really easy to use, and it helps getting on top of the often complicated structures of referencing”

Christoph Ludwig

Technische Universität Dresden, Germany

“Litmaps is extremely helpful with my research. It helps me organize each one of my projects and see how they relate to each other, as well as to keep up to date on publications done in my field”

Daniel Fuller

Clarkson University, USA

“Litmaps is a game changer for finding novel literature... it has been invaluable for my productivity.... I also got my PhD student to use it and they also found it invaluable, finding several gaps they missed”

Varun Venkatesh

Austin Health, Australia

literature review research assistant

Mastering Literature Reviews with Litmaps

literature review research assistant

  • Research Guides
  • University Libraries

AI-Based Literature Review Tools

  • Dialogues: Insightful Facts
  • How to Craft Prompts
  • Plugins / Extensions for AI-powered Searches
  • Cite ChatGPT in APA / MLA
  • AI and Plagiarism
  • ChatGPT & Higher Education
  • Author Profile

Selected AI-Based Literature Review Tools

Disclaimer: TAMU libraries do not have subscription access to the AI-powered tools referenced in the guide. The guide serves purely as an informational resource. It is advised that you independently evaluate these tools and the methodologies for their usage. ----------------------------------------------------------------------------------------------------------------------------------------------------------- SEMANTIC SCHOLAR

  • SCIENTIFIC LITERATURE SEARCH ENGINE - finding semantically similar research papers
  • " A free, AI-powered research tool for scientific literature."  <https://www.semanticscholar.org/>. But login is required in order to use all functions.
  • Over 200 millions of papers from all fields of science, the data of which has also served as a wellspring for the development of other AI-driven tools.

The 4000+ results can be sorted by Fields of Study, Date Range, Author, Journals & Conferences

Save the papers in your Library folder. The Research Feeds will recommend similar papers based on the items saved.

Example - SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality Total Citations: 22,438   [Note: these numbers were gathered when this guide was created] Highly Influential Citations 2,001 Background Citations 6,109 Methods Citations 3,273  Results Citations 385

Semantic Reader

TLDRs (Too Long; Didn't Read) Try this example . Press the pen icon to reveal the highlighted key points . TLDRs "are super-short summaries of the main objective and results of a scientific paper generated using expert background knowledge and the latest GPT-3 style NLP techniques. This new feature is available in beta for nearly 60 million papers in computer science, biology, and medicine..." < https://www.semanticscholar.org/product/tldr>

  • AI-POWERED RESEARCH ASSISTANT - finding papers, filtering study types, automating research flow, brainstorming, summarizing and more.
  • " Elicit is a research assistant using language models like GPT-3 to automate parts of researchers’ workflows. Currently, the main workflow in Elicit is Literature Review. If you ask a question, Elicit will show relevant papers and summaries of key information about those papers in an easy-to-use table."   <https://elicit.org/faq#what-is-elicit.>; Find answers from 175 million papers. FAQS
  • Example - How do mental health interventions vary by age group?    /   Fish oil and depression Results: [Login required] (1) Summary of top 4 papers > Paper #1 - #4 with Title, abstract, citations, DOI, and pdf (2) Table view: Abstract / Interventions / Outcomes measured / Number of participants (3) Relevant studies and citations. (4) Click on Search for Paper Information to find - Metadata about Sources ( SJR etc.) >Population ( age etc.) >Intervention ( duration etc.) > Results ( outcome, limitations etc.) and > Methodology (detailed study design etc.) (5) Export as BIB or CSV
  • How to Search / Extract Data / List of Concept Search -Enter a research question >Workflow: Searching > Summarizing 8 papers> A summary of 4 top papers > Final answers. Each result will show its citation counts, DOI, and a full-text link to Semantic Scholar website for more information such as background citations, methods citation, related papers and more. - List of Concepts search - e.g. adult learning motivation . The results will present a list the related concepts. - Extract data from a pdf file - Upload a paper and let Elicit extract data for you.
  • Export Results - Various ways to export results.
  • How to Cite - Includes the elicit.org URL in the citation, for example: Ought; Elicit: The AI Research Assistant; https://elicit.org; accessed xxxx/xx/xx

CONSENSUS.APP

ACADEMIC SEARCH ENGINE- using AI to find insights in research papers.

"We are a search engine that is designed to accept research questions, find relevant answers within research papers, and synthesize the results using the same language model technology." <https://consensus.app/home/blog/maximize-your-consensus-experience-with-these-best-practices/>

  • Example - Does the death penalty reduce the crime?   /  Fish oil and depression  /    (1) Extracted & aggregated findings from relevant papers. (2) Results may include AIMS, DESIGN, PARTICIPANTS, FINDINGS or other methodological or report components. (3) Summaries and Full Text
  • How to Search Direct questions - Does the death penalty reduce the crime? Relationship between two concepts - Fish oil and depression / Does X cause Y? Open-ended concepts - effects of immigration on local economics Tips and search examples from Consensus' Best Practice   
  • Synthesize (beta) / Consensus Meter When the AI recognizes certain types of research questions, this functionality may be activated. It will examine a selection of some studies and provide a summary along with a Consensus Meter illustrating their collective agreement. Try this search: Is white rice linked to diabetes? The Consensus Meter reveals the following outcomes after analyzing 10 papers: 70% indicate a positive association, 20% suggest a possible connection, and 10% indicate no link.

Prompt “ write me a paragraph about the impact of climate change on GDP with citations “

CITATIONS IN CONTEXT

Integrated with Research Solutions.

Over 1.2 billion Citation Statements and metadata from over 181 million papers suggested reference.

How does it work? - "scite uses access to full-text articles and its deep learning model to tell you, for a given publication: - how many times it was cited by others - how it was cited by others by displaying the text where the citation happened from each citing paper - whether each citation offers supporting or contrasting evidence of the cited claims in the publication of interest, or simply mention it."   <https://help.scite.ai/en-us/article/what-is-scite-1widqmr/>

EXAMPLE of seeing all citations and citation statements in one place

More information: Scite: A smart citation index that displays the context of citations and classifies their intent using deep learning  

  • GPT3.5 by OpenAI. Knowledge cutoff date is September 2021.
  • Input/ Output length - ChatGPT-3.5 allows a maximum token limit of 4096 tokens. According to ChatGPT " On average, a token in English is roughly equivalent to 4 bytes or characters. English words are typically around 5 characters long. This means that, very roughly, you could fit around 800 to 1000 English words within 4096 tokens." 
  • According to ChatGPT, the generated responses are non-deterministic by default. So if you run the searches again and get slightly or very different results, it's likely due to this factor.
  • ChatGPT may find non-existent references.
  • According to this study < https://arxiv.org/ftp/arxiv/papers/2304/2304.06794.pdf > "ChatGPT cites the most-cited articles and journals, relying solely on Google Scholar's citation counts" within the field of environmental science.  
  • Example - "INTERVIEW WITH CHATGPT" as a Research Method & Teaching Tool Some researchers began to use this approach to obtain their research data. Try this Google Scholar search link "interview with ChatGPT"   or see two articles below: (1) Chatting about ChatGPT: how may AI and GPT impact academia and libraries? BD Lund, T Wang - Library Hi Tech News, 2023 (2) An interview with ChatGPT: discussing artificial intelligence in teaching, research, and practice , G Scaringi, M Loche - 2023  

Increased risk of sudden infant death syndrome (SIDS) Increased risk of premature birth Increased risk of low birth weight Increased risk of respiratory problems in newborns Increased risk of respiratory problems in infants exposed to secondhand smoke Increased risk of developing asthma and other respiratory illnesses later in life for infants exposed to secondhand smoke [Note : ChatGPT may generate non-existent references or false knowledge. To find out why Large Language Models hallucinate, check out this Wiki article: Hallucination (artificial intelligence) and this blog post -   A Gentle Introduction to Hallucinations in Large Language Models by Adrian Tam ]

Infant death Neonatal mortality (referring specifically to deaths within the first 28 days of life) Perinatal mortality (referring to deaths occurring during the period from 22 completed weeks of gestation to 7 completed days after birth) Early childhood mortality (referring to deaths occurring within the first five years of life) Child mortality (referring to deaths occurring before the age of 18) [Press the Regenerate button to get more.]

  • Example -  RELATED WORDS What are the related words of infant mortality? Neonatal mortality, Post-neonatal mortality, Stillbirths, Low birth weight, Malnutrition, Infectious diseases, Vaccination, Maternal health,  Access to healthcare, Poverty, Social inequality, Sanitation, Hygiene, Water quality, Childbirth complications, Congenital abnormalities, Birth defects, Maternal age, Under-five mortality, Child mortality, Perinatal mortality, Preterm birth, Low birth weight, Sudden infant death syndrome (SIDS), Maternal mortality, Postnatal care, Malnutrition, Immunization, Access to healthcare, Clean water and sanitation, Congenital anomalies, Infant health disparities, Infant mortality rate (IMR), Infant survival.  

(("Infant Death"[Mesh] OR "Sudden Infant Death Syndrome"[Mesh] OR "Infant Mortality"[Mesh] OR "Perinatal Mortality"[Mesh] OR "Neonatal Mortality"[Mesh] OR "Fetal Mortality"[Mesh] OR "Infant Death" OR "Sudden Infant Death Syndrome" OR "Infant Mortality" OR "Perinatal Mortality" OR "Neonatal Mortality" OR "Fetal Mortality") AND ("Risk Factors"[Mesh] OR "Etiology"[Mesh] OR "Prevention and Control"[Mesh] OR "Interventions"[Mesh] OR "Public Health"[Mesh] OR "Health Disparities"[Mesh] OR "Healthcare Disparities"[Mesh] OR "Poverty"[Mesh] OR "Malnutrition"[Mesh] OR "Infection"[Mesh] OR "Congenital Abnormalities"[Mesh] OR "Prematurity"[Mesh] OR "Low Birth Weight"[Mesh] OR "Maternal Education"[Mesh] OR "Maternal Health"[Mesh] OR "Risk Factors" OR "Etiology" OR "Prevention and Control" OR "Interventions" OR "Public Health" OR "Health Disparities" OR "Healthcare Disparities" OR "Poverty" OR "Malnutrition" OR "Infection" OR "Congenital Abnormalities" OR "Prematurity" OR "Low Birth Weight" OR "Maternal Education" OR "Maternal Health")) Comments and Suggestions: #1 -This search string may not work on all database platforms. For example, Medline (OVID) may not be able to run it, Medline & CINAHL (EBSCO) can run it without any problems while PubMed will run it but it will indicate which MeSH terms are not indexed. See PubMed's search History and Details under Advanced . #2 - This is just one possible combination. You may need to adjust it based on your task and the databases you are using . #3 - It might be easier if you break the task into 3 parts: ask for synonyms > ask for thesauri terms > and ask it to combine them.

Examples - DATABASE RECOMMENDATIONS Heath Science - Which databases to use to find articles on the EFFECTS OF MATERNAL SMOKING ON INFANT DEATH? PubMed: This is a database of biomedical literature from the National Library of Medicine. It includes articles from medical journals and other sources on a wide range of health-related topics. Embase: This is a database of biomedical literature that covers more international and pharmaceutical content than PubMed. It includes articles from medical journals and other sources on a wide range of health-related topics. Cochrane Library : This is a collection of databases that provides systematic reviews and meta-analyses of healthcare interventions, including interventions related to maternal smoking and infant death. Scopus: This is a multidisciplinary database that covers research from a wide range of fields, including health sciences. It includes articles from scientific journals, books, and conference proceedings. Web of Science: This is a database that covers research from a wide range of fields, including health sciences. It includes articles from scientific journals, books, and conference proceedings. CINAHL: This is a database of nursing and allied health literature, including articles on maternal smoking and infant death. [Note: The response above was copied and pasted directly from ChatGPT. No editing was added.] Education -- I am doing a meta-analysis on k-12 STEM education. What databases should I use? ERIC : This is a database of education research and information, including articles from journals, reports, and conference papers. It is a commonly used database for educational research. Education Source : This is a comprehensive database of education research and information, including articles from journals, books, and conference papers. Web of Science: This is a multidisciplinary database that covers research from a wide range of fields, including education. It includes articles from scientific journals, books, and conference proceedings. Scopus: This is another multidisciplinary database that covers research from a wide range of fields, including education. It includes articles from scientific journals, books, and conference proceedings. PsycINFO: This is a database of psychology research, including articles from journals, books, and dissertations. It can be useful for research on STEM education that includes psychological factors. Cochrane Library : This is a collection of databases that provides systematic reviews and meta-analyses of healthcare interventions including interventions related to education. [Author's note: You could also ask for the GREY LITERATURE sources related to the topic above,]

Example: ACT-AS-AN-EXPERT PROMPT Here's an alternative way to consolidate all the questions into a single consultation by using this popular Act-As-An-Expert prompt, aka, system message prompt:  I am going to conduct a systematic review on games and mathematics related to K-12 education  I want you to act as a systematic review expert . I will ask you some questions related to my research topic and you advise me on how to do it. 

[You may ask one question at a time] My first question is "which databases should I use?"  My second question is "what are the relevant subject terms, descriptors and key words?" My third question is "how to do data extraction?" ..... , .... Please note that the above prompts are merely for illustrative purposes. Actual questions may contain more specific instructions. As an example, for the first question, could you provide guidance on how to identify relevant publications? Specifically, can you provide a list of the primary databases and grey literature sources related to my topic?  

Example - GREY LITERATURE Please show me all the resources that offer grey literature for conducting research in the field of education     ERIC (Education Resources Information Center): https://eric.ed.gov/     OpenGrey: http://www.opengrey.eu/     British Education Index: https://www.ebscohost.com/academic/british-education-index     WorldCat: https://www.worldcat.org/     ProQuest Dissertations & Theses Global: https://www.proquest.com/products-services/pqdtglobal.html     EThOS (Electronic Theses Online Service): https://ethos.bl.uk/     Institutional Repositories of universities and academic institutions (search for specific institution repositories)     American Educational Research Association (AERA): https://www.aera.net/     National Education Association (NEA): https://www.nea.org/     Association for Supervision and Curriculum Development (ASCD): http://www.ascd.org/     RAND Corporation: https://www.rand.org/     National Center for Education Research (NCER): https://ies.ed.gov/ncer/     National Center for Education Statistics (NCES): https://nces.ed.gov/     European Educational Research Association (EERA): https://www.eera-ecer.de/     UNESCO International Institute for Educational Planning (IIEP): http://www.iiep.unesco.org/     Organization for Economic Cooperation and Development (OECD): https://www.oecd.org/education/     Education Development Center (EDC): https://www.edc.org/     National Institute for Educational Policy Research (NIER) - Japan: https://www.nier.go.jp/     Australian Council for Educational Research (ACER): https://www.acer.org/     Canadian Education Association (CEA): https://www.cea-ace.ca/ My topic is about stem education. Which grey literature databases should I use?    STEM Education Research Centre (SERC) Grey Literature Database    National STEM Education Research Repository (NSERR)    National Science Digital Library (NSDL)    STEM Education Resource Center (SERC) GrayLit Network    STEM Education Grey Literature Library

See other Comparison Examples under Bing AI.

Examples - ZERO SHOT, ONE SHOT & FEW SHOT PROMPTING for literature review See the examples on the left panel- How to Fine Tune Prompts

Bing Chat / Copilot

  • Bing Chat has become Copilot.
  • CONVERSATIONAL LLM 4.0 + SEARCH ENGINE. Connects to the Internet.
  • Three conversation modes: More Creative, More Balanced or More Precise.
  • Comparison - Prompt: My topic is about psychology. Which grey literature databases should I use? More Precise - PsycExtra, NIH Library and links to library guides, .gov and .org websites More Balanced - PsycExtra and three main research guides that mention psychology grey literature sources. More Creative- PsycExtra, LILACS, and Worldcat + definition of grey literature + suggestions on searching for professional association websites, newsletters, magazines, standards and guidelines, and other sources that may contain relevant information for your topic.
  • Some examples below are associated with Bing Chat. The author will revise them soon.  
  • Example - factors of infant mortality Infant mortality is a term that refers to the death of infants before their first birthday. The leading causes of infant mortality include birth asphyxia, pneumonia, congenital malformations, term birth complications such as abnormal presentation of the fetus umbilical cord prolapse, or prolonged labor, neonatal infection, diarrhea, malaria, measles, and malnutrition1. Many situational factors lead to infant mortality such as the pregnant woman’s level of education, environmental conditions, political infrastructure, and level of medical support1. In the United States, a primary determinant of infant mortality risk is infant birth weight with lower birth weights increasing the risk of infant mortality. The determinants of low birth weight include socioeconomic, psychological, behavioral and environmental factors2.  
  • Example: PEER REVIEWED SOURCES I need to find some peer reviewed articles about infant mortality? The answer includes 5 articles. The first one is “Causes of death and infant mortality rates among full-term births in the United States between 2010 and 2012: An observational study” by Neha Bairoliya and Günther Fink1. A click on  " Tell me more about the first article " leads to this summary: " The first article is titled “Causes of death and infant mortality rates among full-term births in the United States between 2010 and 2012: An observational study” and was published in PLOS Medicine on March 20, 2018. The authors are Neha Bairoliya and Günther Fink. The study used linked birth and death records for the period 2010–2012 to identify the state- and cause-specific burden of infant mortality among full-term infants (born at 37–42 weeks of gestation) in the United States. The researchers found that the full-term infant mortality rate (FTIMR) was 2.2 per 1,000 live births overall and ranged between 1.29 (Connecticut) and 3.77 (Mississippi) at the state level. Sudden unexpected death in infancy (SUDI) accounted for 43% of FTIM; congenital malformations and perinatal conditions accounted for 31% and 11.3% of FTIM, respectively. The largest mortality differentials between states with good and states with poor FTIMR were found for SUDI, with particularly large risk differentials for deaths due to sudden infant death syndrome (SIDS) and suffocation." More searches: Please find five empirical studies focusing on the factors influencing adult learners engaged in online education. Please locate five scholarly articles on stress management among college students site:pubmed.ncbi.nlm.nih.gov

Image illustrating data extraction

The ERIC Thesaurus contains nearly 12,000 terms, including more than 4,500 descriptors and 7,000 synonyms1. You can use the term “Academic Achievement” or its synonyms such as “Educational Achievement”, “Student Achievement”, “Academic Performance”, “Academic Success”, “Learning Achievement” and more. [ Note : The follow-up responses include some additional sources. See two below: https://www.powerthesaurus.org/academic_achievement https://eric.ed.gov/?ti=Achievement+Gap   including https://eric.ed.gov/?ti=Academic+Achievement |

My topic is about psychology.  Which grey literature databases should I use?

ChatGPT PsycEXTRA : This database is produced by the American Psychological Association (APA) and includes grey literature such as conference papers, white papers, and government reports. OpenGrey : This database provides access to grey literature produced in Europe, including reports, theses, and conference papers Grey Literature Report : This database is produced by The New York Academy of Medicine and includes reports, conference papers, and other grey literature on health and biomedical topics, including psychology. ProQuest Dissertations and Theses Global : This database provides access to graduate-level research, including theses and dissertations related to psychology. Google Scholar: While not exclusively a grey literature database, Google Scholar can be a useful tool for finding conference papers and other grey literature related to psychology. National Technical Information Service (NTIS) : This database provides access to technical reports produced by U.S. government agencies, including those related to psychology. Bing AI   - [asked in the Precise mode] For psychology, some recommended grey literature databases include PsycEXTRA and PsyArXiv . PsycEXTRA is a database of grey literature material relating to psychology, behavioral sciences and health. PsyArXiv is a psychology archive designed to facilitate rapid dissemination of psychological research. What other models have been developed based on SERVQUAL?

ChatGPT SERVPERF: This is a modified version of SERVQUAL that measures service performance instead of service quality. It was developed by Cronin and Taylor (1992) and is based on the same five dimensions as SERVQUAL. SERVPERF-GAP: This model, developed by Caruana and Ewing (2006), extends the SERVQUAL model to include three additional gaps that can occur when customers evaluate service quality. E-SERVQUAL: This model, developed by Parasuraman et al. (2005), adapts the SERVQUAL scale to measure the quality of online services. SERVCO: This is a modified version of SERVQUAL that includes a sixth dimension, "cost," in addition to the five original dimensions. It was developed by Sureshchandar et al. (2002) to address the importance of cost in service quality evaluation. SERVQ-HC: This is a modified version of SERVQUAL that is specifically designed for evaluating the quality of health care services. It was developed by Cronin et al. (2000) and includes 20 items across five dimensions. Bing AI The Nordic model of service quality2. The hierarchical model of service quality3. The American Customer Satisfaction Index (ACSI)4.

     Bing AI Sidebar - CHAT, THINK, & WRITE

  • Examples of Using AI sidebar to Recap Google Scholar findings

Chat - If you highlight a study in the search results of Google Scholar, you will be prompted with a question by AI sidebar asking if you want to send the selected text to it. If you choose to do so, you can then select either  EXPLAIN or EXPAND to learn more about the chosen article. It's worth noting that EXPAND provides more detailed information. You can then click on any of the follow-up links to delve further into the selected article or topic. If the text of the chosen study is written in a foreign language, the AI sidebar can also provide an explanation of the text in English. Another option for extracting the key points from a selected article is to submit the URL of the PDF. Insights - Use the insights button to get more ideas about the topic. Compose - Tell the Edge sidebar your topic and let its Compose tool to generate a draft for you. Google Scholar Button- See also the Plugins and Extension page for how to perform a combined search using Google, Google Scholar, and ChatGPT .

Example: FINDING SIMILAR ARTICLES Find similar articles like this one - [then paste in the abstract ] Note - Use this prompt with Bing chat since real-time web info is required.

Examples: SUMMARIZE + REFERENCE Use a basic prompt like " Please summarize . ..." or add a REFERENCE TEXT that provides the necessary information about what you want it to focus or how the summary or resolution should look like. The reference could be a quote, an excerpt, a partial sentence, a conversation, an abstract, a code snippet and so on. Formula : Specify a role > assign a task > provide a reference text. Example#1 - Scholarly Journal Quote

STEP 1 Prompt: As a research assistant specializing in renewable energy, your task is to locate comparable research studies based on the provided abstract from an article: "This paper discusses the perspective of renewable energy (wind, solar, wave and biomass) in the making of strategies for a sustainable development. Such strategies typically involve three major technological changes: energy savings on the demand side, efficiency improvements in the energy production, and replacement of fossil fuels by various sources of renewable energy."

Bing Chat then found 3 documents: the ScienceDirect paper where the abstract came from and two other documents from un.org and frontiersin.org respectively.

STEP 2 Prompt: Please synthesize the findings of the three studies provided above.

Bing Chat: "Sure! Here is a synthesis of the findings from the three studies:

All three studies emphasize the importance of renewable energy in achieving sustainable development and mitigating climate change. They all discuss various strategies and actions that can be taken to increase the use of renewable energy sources and reduce reliance on fossil fuels.

Henrik Lund’s paper discusses the perspective of renewable energy (wind, solar, wave and biomass) in the making of strategies for a sustainable development. Such strategies typically involve three major technological changes: energy savings on the demand side, efficiency improvements in the energy production, and .....

The United Nations outlines five critical actions the world needs to prioritize now to transform our energy systems and speed up the shift to renewable energy: Make renewable energy technology a global public good, Improve global access to components and raw materials......

“Sustainable Energy Transition for Renewable and Low Carbon Grid” discusses that a sustainable global electricity transition will entail increased use of renewable energy sources particularly wind and solar, nuclear energy as a low carbon energy source, electrification of transport and.......

In summary , these studies suggest that transitioning to renewable energy sources is crucial for sustainable development and mitigating climate change. This can be achieved through various strategies such as increasing energy efficiency, improving access to renewable technology and materials, leveling the playing field for renewables, ending fossil fuel subsidies, and redirecting investments towards renewables." Example #2 Y ou are an expert researcher, given the following article, please discuss its key findings. Reference: How Large Language Models are Transforming Machine-Paraphrased Plagiarism at https://arxiv.org/abs/2210.03568 This is another way to put REFERENCE TEXT. As a side not, role specifying or the use of persona is important as it can impact the level of responses obtained. Just imagine if the designated role were " You are a high school student... ." Example #3 Please read this article and summarize it f or me - "Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making" and then find 5 similar studies and please also summarize each for me.

literature review research assistant

CONNECTED PAPERS

  • RELATED STUDIES
  • Uses visual graphs or other ways to show relevant studies. The database is connected to the Semantic Scholar Paper Corpus which has compiled hundreds of millions of published papers across many science and social science fields.
  • See more details about how it works .  
  • Example - SERVQUAL and then click on SELECT A PAPER TO BUILD THE GRAPH > The first paper was selected. Results: (1) Origin paper - SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality + Connected papers with links to Connected Papers / PDF / DOI or Publisher's site / Semantic Scholar / Google Scholar. (2) Graph showing the origin paper + connected papers with links to the major sources . See above. (3) Links to Prior Works and Derivative Works See the detailed citations by Semantic Scholar on the origin SERVQUAL paper on the top of this page within Semantic Scholars.
  • How to Search Search by work title. Enter some keywords about a topic.
  • Download / Save Download your saved Items in Bib format.

PAPER DIGEST

  • SUMMARY & SYNTHESIS
  • " Knowledge graph & natural language processing platform tailored for technology domain . <"https://www.paperdigest.org/> Areas covered: technology, biology/health, all sciences areas, business, humanities/ social sciences, patents and grants ...

literature review research assistant

  • LITERATURE REVIEW - https://www.paperdigest.org/review/ Systematic Review - https://www.paperdigest.org/literature-review/
  • SEARCH CONSOLE - https://www.paperdigest.org/search/ Conference Digest - NIPS conference papers ... Tech AI Tools: Literature Review  | Literature Search | Question Answering | Text Summarization Expert AI Tools: Org AI | Expert search | Executive Search, Reviewer Search, Patent Lawyer Search...

Daily paper digest / Conference papers digest / Best paper digest / Topic tracking. In Account enter the subject areas interested. Daily Digest will upload studies based on your interests.

RESEARCH RABBIT

  • CITATION-BASED MAPPING: SIMILAR / EARLY / LATER WORKS
  • " 100s of millions of academic articles and covers more than 90%+ of materials that can be found in major databases used by academic institutions (such as Scopus, Web of Science, and others) ." See its FAQs page. Search algorithms were borrowed from NIH and Semantic Scholar.

The default “Untitled Collection” will collect your search histories, based on which Research Rabbit will send you recommendations for three types of related results: Similar Works / Earlier Works / Later Works, viewable in graph such as Network, Timeline, First Authors etc.

Zotero integration: importing and exporting between these two apps.

  • Example - SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality [Login required] Try it to see its Similar Works, Earlier Works and Later Works or other documents.
  • Export Results - Findings can be exported in BibTxt, RIS or CSV format.

CITING GENERATIVE AI

  • How to cite ChatGPT  [APA] - https://apastyle. apa.org/blog /how-to-cite-chatgpt  
  • How to Cite Generative AI  [MLA]  https://style. mla.org /citing-generative-ai/
  • Citation Guide - Citing ChatGPT and Other Generative AI (University of Queensland, Australia)
  • Next: Dialogues: Insightful Facts >>
  • Last Updated: Feb 2, 2024 1:07 PM
  • URL: https://tamu.libguides.com/c.php?g=1289555
  • Discord Bot
  • Submit Your Tool
  • Cookies Policy
  • Sign in with Google

Elicit harnesses AI to simplify literature review, finding relevant papers, summarizing key findings, and automating research workflows effectively

Elicit cover

Pricing options

Videos about elicit.

Elicit

AI Literature Search: Elicit.org

Elicit

Elicit | AI for Researchers

Elicit

Elicit The AI Research Assistant AI Tools Demo

About elicit, elicit: transforming academic research with ai-powered literature review.

In the realm of academic research, literature review is a critical but time-consuming task. Elicit is an innovative AI research assistant that aims to revolutionize the research process by automating literature review and other research workflows.

The Power of Elicit

Built on advanced language models like GPT-3, Elicit goes beyond simple keyword searches to find relevant papers based on semantic similarity. This allows researchers to discover pertinent articles even without a perfect keyword match. Elicit also generates customized summaries of abstracts, highlighting key information that aligns with the user's query. By leveraging AI, Elicit effectively automates parts of the research process, providing a significant advantage to researchers.

Research Workflows Made Easy

Elicit is not just limited to literature review. The platform offers various research tasks, including brainstorming, summarization, and text classification. These tools provide a comprehensive solution for researchers in academia, independent organizations, or working independently. Elicit's users have found success in finding papers to cite, defining research directions, and even achieving high scores on exams.

Key Benefits of Elicit

  • Semantic Similarity: Discover relevant papers beyond keyword matching, broadening your research scope.
  • Customized Summaries: Get personalized summaries of abstracts based on your query, saving time and effort.
  • Citation Analysis: Automatically explore citation graphs to find more relevant papers and understand their impact.
  • Flexible Filtering: Customize search results by study type, publication date, or other criteria to hone in on the most pertinent papers.
  • Export and Integration: Save your work and export it in various formats for easy integration into reference managers like Zotero.

Limitations to Consider

While Elicit is a powerful tool, it is essential to understand its limitations. AI-generated content is not always 100% accurate, and the quality of research papers can vary. Elicit cannot evaluate the trustworthiness of individual papers, so users should apply their critical thinking skills when reviewing results.

Revolutionizing Research with Elicit

Elicit is poised to change the way researchers approach literature review and related tasks. By harnessing AI technology to automate parts of the research process, Elicit provides invaluable support for researchers across various domains, saving time and effort while expanding the reach of their academic inquiry.

Elicit Reviews

  • AI research assistant
  • literature review
  • academic research
  • citation analysis
  • paper summarization
  • research workflows

Best Elicit alternatives

Sudowrite cover

Sudowrite: Revolutionize Your Writing Process with AI Assistance

Promptable cover

Streamline Prompt Engineering with Promptable Workspace

Arduino cover

Duino Code Generator: Boost Your Arduino Projects with AI

Newswriter.ai cover

Newswriter.ai

Craft Compelling Press Releases with Newswriter.ai

OpenRead cover

Transform Your Research Experience with OpenRead AI Platform

Sketch cover

AI-Powered Code Assistant for Pandas Data Analysis

TeacherMatic cover

TeacherMatic

Revolutionize Teaching with AI-Powered TeacherMatic Platform

Artist Interview cover

Artist Interview

Artist Interview.ai: Engage with Your Favorite Musicians through AI

Autoblogger cover

Autoblogger

Autoblogger.ai: Revolutionizing Blog Creation with AI Technology

Autoblogging.ai cover

Autoblogging.ai

Unlock Content Creation Power with Autoblogging.ai

BeatBot cover

BeatBot: AI-Powered Songwriting & Vocal Performance

Cheat Layer cover

Cheat Layer

Simplify Business Automation with Cheat Layer's AI-Powered Solutions

We Use Cookies to Enhance Your Experience

Our website uses cookies to provide you with a personalized experience and to improve our website. By clicking 'Accept', you consent to our use of cookies. To learn more about how we use cookies and your options, please see our Cookie Policy page.

Have a language expert improve your writing

Run a free plagiarism check in 10 minutes, generate accurate citations for free.

  • Knowledge Base

Methodology

  • How to Write a Literature Review | Guide, Examples, & Templates

How to Write a Literature Review | Guide, Examples, & Templates

Published on January 2, 2023 by Shona McCombes . Revised on September 11, 2023.

What is a literature review? A literature review is a survey of scholarly sources on a specific topic. It provides an overview of current knowledge, allowing you to identify relevant theories, methods, and gaps in the existing research that you can later apply to your paper, thesis, or dissertation topic .

There are five key steps to writing a literature review:

  • Search for relevant literature
  • Evaluate sources
  • Identify themes, debates, and gaps
  • Outline the structure
  • Write your literature review

A good literature review doesn’t just summarize sources—it analyzes, synthesizes , and critically evaluates to give a clear picture of the state of knowledge on the subject.

Instantly correct all language mistakes in your text

Be assured that you'll submit flawless writing. Upload your document to correct all your mistakes.

upload-your-document-ai-proofreader

Table of contents

What is the purpose of a literature review, examples of literature reviews, step 1 – search for relevant literature, step 2 – evaluate and select sources, step 3 – identify themes, debates, and gaps, step 4 – outline your literature review’s structure, step 5 – write your literature review, free lecture slides, other interesting articles, frequently asked questions, introduction.

  • Quick Run-through
  • Step 1 & 2

When you write a thesis , dissertation , or research paper , you will likely have to conduct a literature review to situate your research within existing knowledge. The literature review gives you a chance to:

  • Demonstrate your familiarity with the topic and its scholarly context
  • Develop a theoretical framework and methodology for your research
  • Position your work in relation to other researchers and theorists
  • Show how your research addresses a gap or contributes to a debate
  • Evaluate the current state of research and demonstrate your knowledge of the scholarly debates around your topic.

Writing literature reviews is a particularly important skill if you want to apply for graduate school or pursue a career in research. We’ve written a step-by-step guide that you can follow below.

Literature review guide

Prevent plagiarism. Run a free check.

Writing literature reviews can be quite challenging! A good starting point could be to look at some examples, depending on what kind of literature review you’d like to write.

  • Example literature review #1: “Why Do People Migrate? A Review of the Theoretical Literature” ( Theoretical literature review about the development of economic migration theory from the 1950s to today.)
  • Example literature review #2: “Literature review as a research methodology: An overview and guidelines” ( Methodological literature review about interdisciplinary knowledge acquisition and production.)
  • Example literature review #3: “The Use of Technology in English Language Learning: A Literature Review” ( Thematic literature review about the effects of technology on language acquisition.)
  • Example literature review #4: “Learners’ Listening Comprehension Difficulties in English Language Learning: A Literature Review” ( Chronological literature review about how the concept of listening skills has changed over time.)

You can also check out our templates with literature review examples and sample outlines at the links below.

Download Word doc Download Google doc

Before you begin searching for literature, you need a clearly defined topic .

If you are writing the literature review section of a dissertation or research paper, you will search for literature related to your research problem and questions .

Make a list of keywords

Start by creating a list of keywords related to your research question. Include each of the key concepts or variables you’re interested in, and list any synonyms and related terms. You can add to this list as you discover new keywords in the process of your literature search.

  • Social media, Facebook, Instagram, Twitter, Snapchat, TikTok
  • Body image, self-perception, self-esteem, mental health
  • Generation Z, teenagers, adolescents, youth

Search for relevant sources

Use your keywords to begin searching for sources. Some useful databases to search for journals and articles include:

  • Your university’s library catalogue
  • Google Scholar
  • Project Muse (humanities and social sciences)
  • Medline (life sciences and biomedicine)
  • EconLit (economics)
  • Inspec (physics, engineering and computer science)

You can also use boolean operators to help narrow down your search.

Make sure to read the abstract to find out whether an article is relevant to your question. When you find a useful book or article, you can check the bibliography to find other relevant sources.

You likely won’t be able to read absolutely everything that has been written on your topic, so it will be necessary to evaluate which sources are most relevant to your research question.

For each publication, ask yourself:

  • What question or problem is the author addressing?
  • What are the key concepts and how are they defined?
  • What are the key theories, models, and methods?
  • Does the research use established frameworks or take an innovative approach?
  • What are the results and conclusions of the study?
  • How does the publication relate to other literature in the field? Does it confirm, add to, or challenge established knowledge?
  • What are the strengths and weaknesses of the research?

Make sure the sources you use are credible , and make sure you read any landmark studies and major theories in your field of research.

You can use our template to summarize and evaluate sources you’re thinking about using. Click on either button below to download.

Take notes and cite your sources

As you read, you should also begin the writing process. Take notes that you can later incorporate into the text of your literature review.

It is important to keep track of your sources with citations to avoid plagiarism . It can be helpful to make an annotated bibliography , where you compile full citation information and write a paragraph of summary and analysis for each source. This helps you remember what you read and saves time later in the process.

Here's why students love Scribbr's proofreading services

Discover proofreading & editing

To begin organizing your literature review’s argument and structure, be sure you understand the connections and relationships between the sources you’ve read. Based on your reading and notes, you can look for:

  • Trends and patterns (in theory, method or results): do certain approaches become more or less popular over time?
  • Themes: what questions or concepts recur across the literature?
  • Debates, conflicts and contradictions: where do sources disagree?
  • Pivotal publications: are there any influential theories or studies that changed the direction of the field?
  • Gaps: what is missing from the literature? Are there weaknesses that need to be addressed?

This step will help you work out the structure of your literature review and (if applicable) show how your own research will contribute to existing knowledge.

  • Most research has focused on young women.
  • There is an increasing interest in the visual aspects of social media.
  • But there is still a lack of robust research on highly visual platforms like Instagram and Snapchat—this is a gap that you could address in your own research.

There are various approaches to organizing the body of a literature review. Depending on the length of your literature review, you can combine several of these strategies (for example, your overall structure might be thematic, but each theme is discussed chronologically).

Chronological

The simplest approach is to trace the development of the topic over time. However, if you choose this strategy, be careful to avoid simply listing and summarizing sources in order.

Try to analyze patterns, turning points and key debates that have shaped the direction of the field. Give your interpretation of how and why certain developments occurred.

If you have found some recurring central themes, you can organize your literature review into subsections that address different aspects of the topic.

For example, if you are reviewing literature about inequalities in migrant health outcomes, key themes might include healthcare policy, language barriers, cultural attitudes, legal status, and economic access.

Methodological

If you draw your sources from different disciplines or fields that use a variety of research methods , you might want to compare the results and conclusions that emerge from different approaches. For example:

  • Look at what results have emerged in qualitative versus quantitative research
  • Discuss how the topic has been approached by empirical versus theoretical scholarship
  • Divide the literature into sociological, historical, and cultural sources

Theoretical

A literature review is often the foundation for a theoretical framework . You can use it to discuss various theories, models, and definitions of key concepts.

You might argue for the relevance of a specific theoretical approach, or combine various theoretical concepts to create a framework for your research.

Like any other academic text , your literature review should have an introduction , a main body, and a conclusion . What you include in each depends on the objective of your literature review.

The introduction should clearly establish the focus and purpose of the literature review.

Depending on the length of your literature review, you might want to divide the body into subsections. You can use a subheading for each theme, time period, or methodological approach.

As you write, you can follow these tips:

  • Summarize and synthesize: give an overview of the main points of each source and combine them into a coherent whole
  • Analyze and interpret: don’t just paraphrase other researchers — add your own interpretations where possible, discussing the significance of findings in relation to the literature as a whole
  • Critically evaluate: mention the strengths and weaknesses of your sources
  • Write in well-structured paragraphs: use transition words and topic sentences to draw connections, comparisons and contrasts

In the conclusion, you should summarize the key findings you have taken from the literature and emphasize their significance.

When you’ve finished writing and revising your literature review, don’t forget to proofread thoroughly before submitting. Not a language expert? Check out Scribbr’s professional proofreading services !

This article has been adapted into lecture slides that you can use to teach your students about writing a literature review.

Scribbr slides are free to use, customize, and distribute for educational purposes.

Open Google Slides Download PowerPoint

If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

  • Sampling methods
  • Simple random sampling
  • Stratified sampling
  • Cluster sampling
  • Likert scales
  • Reproducibility

 Statistics

  • Null hypothesis
  • Statistical power
  • Probability distribution
  • Effect size
  • Poisson distribution

Research bias

  • Optimism bias
  • Cognitive bias
  • Implicit bias
  • Hawthorne effect
  • Anchoring bias
  • Explicit bias

A literature review is a survey of scholarly sources (such as books, journal articles, and theses) related to a specific topic or research question .

It is often written as part of a thesis, dissertation , or research paper , in order to situate your work in relation to existing knowledge.

There are several reasons to conduct a literature review at the beginning of a research project:

  • To familiarize yourself with the current state of knowledge on your topic
  • To ensure that you’re not just repeating what others have already done
  • To identify gaps in knowledge and unresolved problems that your research can address
  • To develop your theoretical framework and methodology
  • To provide an overview of the key findings and debates on the topic

Writing the literature review shows your reader how your work relates to existing research and what new insights it will contribute.

The literature review usually comes near the beginning of your thesis or dissertation . After the introduction , it grounds your research in a scholarly field and leads directly to your theoretical framework or methodology .

A literature review is a survey of credible sources on a topic, often used in dissertations , theses, and research papers . Literature reviews give an overview of knowledge on a subject, helping you identify relevant theories and methods, as well as gaps in existing research. Literature reviews are set up similarly to other  academic texts , with an introduction , a main body, and a conclusion .

An  annotated bibliography is a list of  source references that has a short description (called an annotation ) for each of the sources. It is often assigned as part of the research process for a  paper .  

Cite this Scribbr article

If you want to cite this source, you can copy and paste the citation or click the “Cite this Scribbr article” button to automatically add the citation to our free Citation Generator.

McCombes, S. (2023, September 11). How to Write a Literature Review | Guide, Examples, & Templates. Scribbr. Retrieved February 6, 2024, from https://www.scribbr.com/dissertation/literature-review/

Is this article helpful?

Shona McCombes

Shona McCombes

Other students also liked, what is a theoretical framework | guide to organizing, what is a research methodology | steps & tips, how to write a research proposal | examples & templates, what is your plagiarism score.

RAxter is now Enago Read! Enjoy the same licensing and pricing with enhanced capabilities. No action required for existing customers.

Your all in one AI-powered Reading Assistant

A Reading Space to Ideate, Create Knowledge, and Collaborate on Your Research

  • Smartly organize your research
  • Receive recommendations that cannot be ignored
  • Collaborate with your team to read, discuss, and share knowledge

image

From Surface-Level Exploration to Critical Reading - All in one Place!

Fine-tune your literature search.

Our AI-powered reading assistant saves time spent on the exploration of relevant resources and allows you to focus more on reading.

Select phrases or specific sections and explore more research papers related to the core aspects of your selections. Pin the useful ones for future references.

Our platform brings you the latest research news, online courses, and articles from magazines/blogs related to your research interests and project work.

Speed up your literature review

Quickly generate a summary of key sections of any paper with our summarizer.

Make informed decisions about which papers are relevant, and where to invest your time in further reading.

Get key insights from the paper, quickly comprehend the paper’s unique approach, and recall the key points.

Bring order to your research projects

Organize your reading lists into different projects and maintain the context of your research.

Quickly sort items into collections and tag or filter them according to keywords and color codes.

Experience the power of sharing by finding all the shared literature at one place.

Decode papers effortlessly for faster comprehension

Highlight what is important so that you can retrieve it faster next time.

Find Wikipedia explanations for any selected word or phrase.

Save time in finding similar ideas across your projects.

Collaborate to read with your team, professors, or students

Share and discuss literature and drafts with your study group, colleagues, experts, and advisors. Recommend valuable resources and help each other for better understanding.

Work in shared projects efficiently and improve visibility within your study group or lab members.

Keep track of your team's progress by being constantly connected and engaging in active knowledge transfer by requesting full access to relevant papers and drafts.

Find Papers From Across the World's Largest Repositories

client

Testimonials

Privacy and security of your research data are integral to our mission..

Rax privacy policy

Everything you add or create on Enago Read is private by default. It is visible if and when you share it with other users.

Copyright

You can put Creative Commons license on original drafts to protect your IP. For shared files, Enago Read always maintains a copy in case of deletion by collaborators or revoked access.

Security

We use state-of-the-art security protocols and algorithms including MD5 Encryption, SSL, and HTTPS to secure your data.

Academia Insider

AI Tools To Automate Your Literature Review: Which To Use?

Researching and writing outa literature review can be a daunting task, but AI-powered tools like Semantic Scholar, Research Rabbit, and Scite are revolutionising this process.

These tools, leveraging artificial intelligence, automate the arduous task of sifting through mountains of academic papers, extracting key information, and summarizing relevant research.

In this article, lets explore how AI research assistants and advanced search engines streamline the literature review process, making it faster, more efficient, and thorough for conducting scientific research. Discover the best AI tools to transform your literature review work. 

Why Use AI Tools To Write Literature Review?

The vast sea of academic papers can be daunting. This is where AI tools like ChatGPT, Semantic Scholar, and Research Rabbit become indispensable.

literature review research assistant

AI tools for literature review are adept at sifting through millions of papers across various databases like PubMed and Google Scholar. They use AI algorithms and natural language processing (NLP) to identify relevant research articles, providing a summary of key information.

Some AI-powered research assistant such as Scite, uses AI to scan through research data, offering insights into the supporting or contrasting evidence within peer-reviewed papers. This can be a valuable tool for finding specific details in a systematic literature review.

These tools also streamline the literature search by automating the process of citation and reference management. Tools like Connected Papers and Research Rabbit are adept at evaluating and summarizing relevant academic papers, saving you time and effort.

They can extract key information from PDF documents and research articles, making it fast and easy to organize your findings.

AI-powered tools for literature review also help in creating a thorough literature search, essential for:

  • Systematic literature reviews
  • Meta-analyses, and
  • Identifying research gap.

They can elicit information from a variety of sources, providing a comprehensive view of your research question. This approach ensures that your literature review is not only rich in content but also diverse in perspectives.

Best AI Tools To Write Literature Review

If you are looking at exploring AI tools to help you write literature review, consider these instead. They are revolutionizing the way literature reviews are conducted:

Connected Papers

As the name suggests, Connected Papers focuses on showing how various academic papers are interconnected. This generative AI tool helps you visualize the research landscape around your topic, making it easier to:

  • Identify key papers,
  • Identify potential gaps in your literature review, and
  • Understand emerging trends in scientific research.

While not a traditional literature review tool, ChatGPT is revolutionising academic research by offering prompt-based assistance.

This chatbot-like AI tool can help automate parts of the literature review process, such as generating research questions or providing quick summaries of complex topics.

ChatGPT’s AI-driven insights can be a valuable starting point for deeper exploration into specific research areas. The key is to provide it with the right input, and then to give the right prompts.

Research Rabbit

This tool uses AI to scan a variety of sources, including peer-reviewed research data. It’s particularly useful for conducting systematic literature reviews, as it can evaluate and summarize relevant academic papers, highlighting supporting or contrasting evidence.

literature review research assistant

Its key features include mapping out connections between research papers, identifying key papers in a research area, and helping to understand how various research topics are interconnected.

Research Rabbit also excels in reference management, a vital component of academic writing.

Scite is an innovative tool that uses AI technologies to provide a new layer of insight into scientific literature.

It evaluates the credibility of research by analyzing citation contexts, helping you to identify the most impactful and relevant papers for your research question.

Scite’s most distinctive feature is its Smart Citations. Unlike traditional citations that merely count how often a paper is cited, Smart Citations provide context by showing how a paper has been cited. This means that for each citation, Scite shows you the other relevant papers that:

  • Contrasts, or
  • Mentioning evidence for the claims made in the original paper. 

As a result, Scite is invaluable for conducting thorough literature reviews, especially for systematic reviews and meta-analyses.

Semantic Scholar

This AI-powered research assistant stands out in its ability to sift through vast databases like PubMed and Google Scholar.

It uses advanced natural language processing (NLP) and AI algorithms to extract key information from millions of academic papers, offering concise summaries and identifying relevant research articles.

What sets Semantic Scholar apart is its AI algorithms. It analyses millions of academic publications, extracting key information such as:

  • Figures, 
  • Tables, as well as 
  • Contextual relevance of each paper.

This enables the tool to provide highly relevant search results, summaries, and insights that are tailored to your specific interests and research needs.

What To Watch Out For When Writing Literature Review With AI Tools?

When you’re writing a literature review with AI tools, you’re stepping into a world where technology meets academic rigor. To ensure they balance each other out, by watching over these details as you use AI when researching:

Bias  

AI algorithms, including those used in literature search tools, can inherit biases from their training data.

This might skew the search results towards more popular or frequently cited papers, potentially overlooking lesser-known yet significant research.

Ensure you’re accessing a variety of sources to maintain a balanced perspective. When possible, always look into newer papers on your research area, as these may not have been discovered by your AI tool yet.

Citation Accuracy

While tools like Scite provide advanced citation analysis, the accuracy of AI in identifying and interpreting citations is not infallible.

literature review research assistant

Always verify the citations and references manually, especially when dealing with complex literature or less digitised sources.

You can also use multiple AI tools to check for citation accuracy. For example, rather than simply relying on Scite, you can also use other reference management softwares like: 

  • Refworks, or

Contextual Understanding

AI tools, efficient as they are, might not fully grasp the nuanced context of your research question.

Tools like ChatGPT and Semantic Scholar provide summaries and identify relevant papers using natural language processing (NLP), but they may not always align perfectly with your specific research focus.

Always double-check that the AI’s interpretation matches your intended research angle. This means actually spending time to read articles within the research area, and become familiar with it. 

Depth of Analysis

AI tools can automate the initial stages of your literature review by quickly sifting through databases like PubMed and Google Scholar to find relevant papers.

However, they might not evaluate the depth and subtlety of arguments in academic writing as thoroughly as a human researcher would.

It’s crucial to supplement AI findings with your own detailed analysis. This means you should not rely on AI completely, but to actually roll up your sleeves and work on the analysis yourself as well.

Over-reliance on AI

There’s a temptation to overly rely on AI for streamlining every aspect of the literature review process.

literature review research assistant

Remember, AI is a tool to assist, not replace, your critical thinking and scholarly diligence.

Use AI to enhance your workflow but maintain an active role in evaluating and synthesising research data. See AI as a tool, not your replacement. You need to be there to pilot the AI tool, to ensure it is doing its job properly.

AI Tools For Literature Review: Keep Up With Times

Leveraging AI tools for your literature review is a game-changer. Tools like Semantic Scholar, Research Rabbit, and Scite, powered by advanced AI algorithms, not only automate the search for relevant papers but also provide critical summaries and evaluations.

They enhance the literature review process in academic research, making it more efficient and comprehensive.

As AI continues to evolve, these tools become indispensable for researchers, helping to streamline workflows, organize findings, and extract key insights from a vast array of scientific literature with unparalleled ease and speed.

literature review research assistant

Dr Andrew Stapleton has a Masters and PhD in Chemistry from the UK and Australia. He has many years of research experience and has worked as a Postdoctoral Fellow and Associate at a number of Universities. Although having secured funding for his own research, he left academia to help others with his YouTube channel all about the inner workings of academia and how to make it work for you.

Thank you for visiting Academia Insider.

We are here to help you navigate Academia as painlessly as possible. We are supported by our readers and by visiting you are helping us earn a small amount through ads and affiliate revenue - Thank you!

literature review research assistant

2024 © Academia Insider

literature review research assistant

Your all in one AI-powered Reading Assistant

A Reading Space to Ideate, Create Knowledge, & Collaborate on Your Research

  • Smartly organize your research
  • Receive recommendations that can not be ignored
  • Collaborate with your team to read, discuss, and share knowledge

image

From Surface-Level Exploration to Critical Reading - All at One Place!

Fine-tune your literature search.

Our AI-powered reading assistant saves time spent on the exploration of relevant resources and allows you to focus more on reading.

Select phrases or specific sections and explore more research papers related to the core aspects of your selections. Pin the useful ones for future references.

Our platform brings you the latest research news, online courses, and articles from magazines/blogs related to your research interests and project work.

Speed up your literature review

Quickly generate a summary of key sections of any paper with our summarizer.

Make informed decisions about which papers are relevant, and where to invest your time in further reading.

Get key insights from the paper, quickly comprehend the paper’s unique approach, and recall the key points.

Bring order to your research projects

Organize your reading lists into different projects and maintain the context of your research.

Quickly sort items into collections and tag or filter them according to keywords and color codes.

Experience the power of sharing by finding all the shared literature at one place

Decode papers effortlessly for faster comprehension

Highlight what is important so that you can retrieve it faster next time

Find Wikipedia explanations for any selected word or phrase

Save time in finding similar ideas across your projects

Collaborate to read with your team, professors, or students

Share and discuss literature and drafts with your study group, colleagues, experts, and advisors. Recommend valuable resources and help each other for better understanding.

Work in shared projects efficiently and improve visibility within your study group or lab members.

Keep track of your team's progress by being constantly connected and engaging in active knowledge transfer by requesting full access to relevant papers and drafts.

Find Papers From Across the World's Largest Repositories

client

Testimonials

Privacy and security of your research data are integral to our mission..

Rax privacy policy

Everything you add or create on Enago Read is private by default. It is visible only if and when you share it with other users.

Copyright

You can put Creative Commons license on original drafts to protect your IP. For shared files, Enago Read always maintains a copy in case of deletion by collaborators or revoked access.

Security

We use state-of-the-art security protocols and algorithms including MD5 Encryption, SSL, and HTTPS to secure your data.

Building, Architecture, Outdoors, City, Aerial View, Urban, Office Building, Cityscape

Research Study Assistant

  • Madison, Wisconsin
  • SCHOOL OF MEDICINE AND PUBLIC HEALTH/DEPARTMENT OF MEDICINE
  • Partially Remote
  • Staff-Full Time
  • Opening at: Jan 30 2024 at 15:30 CST
  • Closing at: Feb 13 2024 at 23:55 CST

Job Summary:

The Research Study Assistant (Research Specialist) will work in the research program led by Dr. Blair Golden, a health services and outcomes researcher and hospitalist physician, whose research focuses on improving care for hospitalized older adults with dementia who are at high risk for delirium, a medical condition that leads to acute changes in cognition. Dr. Golden's research program is currently looking for a research specialist who will have the opportunity to support and gain experience with the full spectrum of research activities, from preparation and maintenance of research and institutional review board (IRB) protocols through publication in the peer-reviewed literature. The immediate needs of the program include project management and research support for an NIH-funded study that includes qualitative research methods (interviews and ethnography), analysis of clinical data using electronic health records, and development and testing of new interventions that help families and hospital clinicians better identify and prevent delirium. The successful candidate will have advanced communication skills and will be flexible, highly organized, and detail-oriented, with the ability to both work independently and contribute to collaborative, team science.

Responsibilities:

  • 25% Conducts research experiments according to established research protocols with moderate impact to the project(s). Collects data and monitors test results
  • 5% Operates, cleans, and maintains organization of research equipment and research area. Tracks inventory levels and places replenishment orders
  • 20% Reviews, analyzes, and interprets data and/or documents results for presentations and/or reporting to internal and external audiences
  • 15% Participates in the development, interpretation, and implementation of research methodology and materials
  • 5% Provides operational guidance on day-to-day activities of unit or program staff and/or student workers
  • 20% Performs literature reviews and writes reports
  • 10% Assists in developing grant applications and proposals to secure research funding

Institutional Statement on Diversity:

Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals. The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world. For more information on diversity and inclusion on campus, please visit: http://diversity.wisc.edu ">Diversity and Inclusion

Preferred Bachelor's Degree

Qualifications:

Required: - One or more years of work or relevant educational experience in a health-related environment (e.g., public health, community health, or clinical setting) AND/OR one or more years in a human subjects research or clinical trials environment Preferred: - Experience with qualitative research methods - Experience with electronic health records - Experience with clinical data collection, management, and regulatory oversight; including use of REDCap data collection software - Educational, clinical and/or research experience working with patients living with dementia or hospitalized older adults

Full Time: 100% This position may require some work to be performed in-person, onsite, at a designated campus work location. Some work may be performed remotely, at an offsite, non-campus work location.

Appointment Type, Duration:

Ongoing/Renewable

Minimum $50,000 ANNUAL (12 months) Depending on Qualifications The starting salary for the position is $50,000 but is negotiable based on experience and qualifications. Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. Benefits information can be found at ( https://hr.wisc.edu/benefits/).

Additional Information:

The selected applicant will be responsible for ensuring eligibility for employment in the United States on or before the effective date of the appointment. University sponsorship is not available for this position.

How to Apply:

To apply for this position, please click on the "Apply Now" button. You will be asked to upload a resume and cover letter as a part of the application process. Please ensure that the resume and cover letter address how you meet the minimum/preferred qualifications for the position. In addition, please include 1-3 writing samples that showcase your communication skills.  You will also be asked to provide contact information for three (3) references, including your current/most recent supervisor during the application process. References will not be contacted without prior notice.

Blair Golden [email protected] 608-261-1383 Relay Access (WTRS): 7-1-1. See http://www.wisconsinrelay.com/ ">RELAY_SERVICE for further information.

Official Title:

Research Specialist(RE047)

Department(s):

A53-MEDICAL SCHOOL/MEDICINE/HOSPITALST

Employment Class:

Academic Staff-Renewable

Job Number:

The university of wisconsin-madison is an equal opportunity and affirmative action employer..

You will be redirected to the application to launch your career momentarily. Thank you!

Frequently Asked Questions

Applicant Tutorial

Disability Accommodations

Pay Transparency Policy Statement

Refer a Friend

You've sent this job to a friend!

Website feedback, questions or accessibility issues: [email protected] .

Learn more about accessibility at UW–Madison .

© 2016–2024 Board of Regents of the University of Wisconsin System • Privacy Statement

University of Wisconsin–Madison logo

We use cookies on this site. By continuing to browse without changing your browser settings to block or delete cookies, you agree to the UW–Madison Privacy Notice .

SCI Journal

10 Best Literature Review Tools for Researchers

Photo of author

This post may contain affiliate links that allow us to earn a commission at no expense to you. Learn more

Best Literature Review Tools for Researchers

Boost your research game with these Best Literature Review Tools for Researchers! Uncover hidden gems, organize your findings, and ace your next research paper!

Conducting literature reviews poses challenges for researchers due to the overwhelming volume of information available and the lack of efficient methods to manage and analyze it.

Researchers struggle to identify key sources, extract relevant information, and maintain accuracy while manually conducting literature reviews. This leads to inefficiency, errors, and difficulty in identifying gaps or trends in existing literature.

Advancements in technology have resulted in a variety of literature review tools. These tools streamline the process, offering features like automated searching, filtering, citation management, and research data extraction. They save time, improve accuracy, and provide valuable insights for researchers. 

In this article, we present a curated list of the 10 best literature review tools, empowering researchers to make informed choices and revolutionize their systematic literature review process.

Table of Contents

Top 10 Literature Review Tools for Researchers: In A Nutshell (2023)

#1. semantic scholar – a free, ai-powered research tool for scientific literature.

Credits: Semantic Scholar. Best Literature Review Tools for Researchers

Semantic Scholar is a cutting-edge literature review tool that researchers rely on for its comprehensive access to academic publications. With its advanced AI algorithms and extensive database, it simplifies the discovery of relevant research papers. 

By employing semantic analysis, users can explore scholarly articles based on context and meaning, making it a go-to resource for scholars across disciplines. 

Additionally, Semantic Scholar offers personalized recommendations and alerts, ensuring researchers stay updated with the latest developments. However, users should be cautious of potential limitations. 

Not all scholarly content may be indexed, and occasional false positives or inaccurate associations can occur. Furthermore, the tool primarily focuses on computer science and related fields, potentially limiting coverage in other disciplines. 

Researchers should be mindful of these considerations and supplement Semantic Scholar with other reputable resources for a comprehensive literature review. Despite these caveats, Semantic Scholar remains a valuable tool for streamlining research and staying informed.

#2. Elicit – Research assistant using language models like GPT-3

Credits: Elicit.Org, Best Literature Review Tools for Researchers

Elicit is a game-changing literature review tool that has gained popularity among researchers worldwide. With its user-friendly interface and extensive database of scholarly articles, it streamlines the research process, saving time and effort. 

The tool employs advanced algorithms to provide personalized recommendations, ensuring researchers discover the most relevant studies for their field. Elicit also promotes collaboration by enabling users to create shared folders and annotate articles.

However, users should be cautious when using Elicit. It is important to verify the credibility and accuracy of the sources found through the tool, as the database encompasses a wide range of publications. 

Additionally, occasional glitches in the search function have been reported, leading to incomplete or inaccurate results. While Elicit offers tremendous benefits, researchers should remain vigilant and cross-reference information to ensure a comprehensive literature review.

#3. Scite.Ai – Your personal research assistant

Credits: Scite, Best Literature Review Tools for Researchers

Scite.Ai is a popular literature review tool that revolutionizes the research process for scholars. With its innovative citation analysis feature, researchers can evaluate the credibility and impact of scientific articles, making informed decisions about their inclusion in their own work. 

By assessing the context in which citations are used, Scite.Ai ensures that the sources selected are reliable and of high quality, enabling researchers to establish a strong foundation for their research.

However, while Scite.Ai offers numerous advantages, there are a few aspects to be cautious about. As with any data-driven tool, occasional errors or inaccuracies may arise, necessitating researchers to cross-reference and verify results with other reputable sources. 

Moreover, Scite.Ai’s coverage may be limited in certain subject areas and languages, with a possibility of missing relevant studies, especially in niche fields or non-English publications. 

Therefore, researchers should supplement the use of Scite.Ai with additional resources to ensure comprehensive literature coverage and avoid any potential gaps in their research.

Rayyan offers the following paid plans:

  • Monthly Plan: $20
  • Yearly Plan: $12

Credits: Scite, Best Literature Review Tools for Researchers

#4. DistillerSR – Literature Review Software

Credits: DistillerSR, Best Literature Review Tools for Researchers

DistillerSR is a powerful literature review tool trusted by researchers for its user-friendly interface and robust features. With its advanced search capabilities, researchers can quickly find relevant studies from multiple databases, saving time and effort. 

The tool offers comprehensive screening and data extraction functionalities, streamlining the review process and improving the reliability of findings. Real-time collaboration features also facilitate seamless teamwork among researchers.

While DistillerSR offers numerous advantages, there are a few considerations. Users should invest time in understanding the tool’s features and functionalities to maximize its potential. Additionally, the pricing structure may be a factor for individual researchers or small teams with limited budgets.

Despite occasional technical glitches reported by some users, the developers actively address these issues through updates and improvements, ensuring a better user experience. 

Overall, DistillerSR empowers researchers to navigate the vast sea of information, enhancing the quality and efficiency of literature reviews while fostering collaboration among research teams.

#5. Rayyan – AI Powered Tool for Systematic Literature Reviews

Credits: Rayyan, Best Literature Review Tools for Researchers

Rayyan is a powerful literature review tool that simplifies the research process for scholars and academics. With its user-friendly interface and efficient management features, Rayyan is highly regarded by researchers worldwide. 

It allows users to import and organize large volumes of scholarly articles, making it easier to identify relevant studies for their research projects. The tool also facilitates seamless collaboration among team members, enhancing productivity and streamlining the research workflow. 

However, it’s important to be aware of a few aspects. The free version of Rayyan has limitations, and upgrading to a premium subscription may be necessary for additional functionalities. 

Users should also be mindful of occasional technical glitches and compatibility issues, promptly reporting any problems. Despite these considerations, Rayyan remains a valuable asset for researchers, providing an effective solution for literature review tasks.

Rayyan offers both free and paid plans:

  • Professional: $8.25/month
  • Student: $4/month
  • Pro Team: $8.25/month
  • Team+: $24.99/month

Credits: Rayyan, Best Literature Review Tools for Researchers

#6. Consensus – Use AI to find you answers in scientific research

Credits: Consensus, Best Literature Review Tools for Researchers

Consensus is a cutting-edge literature review tool that has become a go-to choice for researchers worldwide. Its intuitive interface and powerful capabilities make it a preferred tool for navigating and analyzing scholarly articles. 

With Consensus, researchers can save significant time by efficiently organizing and accessing relevant research material.People consider Consensus for several reasons. 

Its advanced search algorithms and filters help researchers sift through vast amounts of information, ensuring they focus on the most relevant articles. By streamlining the literature review process, Consensus allows researchers to extract valuable insights and accelerate their research progress.

However, there are a few factors to watch out for when using Consensus. As with any automated tool, researchers should exercise caution and independently verify the accuracy and relevance of the generated results. Complex or niche topics may present challenges, resulting in limited search results. Researchers should also supplement Consensus with manual searches to ensure comprehensive coverage of the literature.

Overall, Consensus is a valuable resource for researchers seeking to optimize their literature review process. By leveraging its features alongside critical thinking and manual searches, researchers can enhance the efficiency and effectiveness of their work, advancing their research endeavors to new heights.

Consensus offers both free and paid plans:

  • Premium: $9.99/month
  • Enterprise: Custom

Credits: Consensus, Best Literature Review Tools for Researchers

#7. RAx – AI-powered reading assistant

Credits: RAx, Best Literature Review Tools for Researchers

Consensus is a revolutionary literature review tool that has transformed the research process for scholars worldwide. With its user-friendly interface and advanced features, it offers a vast database of academic publications across various disciplines, providing access to relevant and up-to-date literature. 

Using advanced algorithms and machine learning, Consensus delivers personalized recommendations, saving researchers time and effort in their literature search. 

However, researchers should be cautious of potential biases in the recommendation system and supplement their search with manual verification to ensure a comprehensive review. 

Additionally, occasional inaccuracies in metadata have been reported, making it essential for users to cross-reference information with reliable sources. Despite these considerations, Consensus remains an invaluable tool for enhancing the efficiency and quality of literature reviews.

RAx offers both free and paid plans. Currently offering 50% discounts as of July 2023:

  • Premium: $6/month $3/month
  • Premium with Copilot: $8/month $4/month

Credits: RAx, Best Literature Review Tools for Researchers

#8. Lateral – Advance your research with AI

Credits: Lateral, Best Literature Review Tools for Researchers

“Lateral” is a revolutionary literature review tool trusted by researchers worldwide. With its user-friendly interface and powerful search capabilities, it simplifies the process of gathering and analyzing scholarly articles. 

By leveraging advanced algorithms and machine learning, Lateral saves researchers precious time by retrieving relevant articles and uncovering new connections between them, fostering interdisciplinary exploration.

While Lateral provides numerous benefits, users should exercise caution. It is advisable to cross-reference its findings with other sources to ensure a comprehensive review. 

Additionally, researchers must be mindful of potential biases introduced by the tool’s algorithms and should critically evaluate and interpret the results. 

Despite these considerations, Lateral remains an indispensable resource, empowering researchers to delve deeper into their fields of study and make valuable contributions to the academic community.

RAx offers both free and paid plans:

  • Premium: $10.98
  • Pro: $27.46

Credits: Lateral, Best Literature Review Tools for Researchers

#9. Iris AI – Introducing the researcher workspace

Credits: Iris AI, Best Literature Review Tools for Researchers

Iris AI is an innovative literature review tool that has transformed the research process for academics and scholars. With its advanced artificial intelligence capabilities, Iris AI offers a seamless and efficient way to navigate through a vast array of academic papers and publications. 

Researchers are drawn to this tool because it saves valuable time by automating the tedious task of literature review and provides comprehensive coverage across multiple disciplines. 

Its intelligent recommendation system suggests related articles, enabling researchers to discover hidden connections and broaden their knowledge base. However, caution should be exercised while using Iris AI. 

While the tool excels at surfacing relevant papers, researchers should independently evaluate the quality and validity of the sources to ensure the reliability of their work. 

It’s important to note that Iris AI may occasionally miss niche or lesser-known publications, necessitating a supplementary search using traditional methods. 

Additionally, being an algorithm-based tool, there is a possibility of false positives or missed relevant articles due to the inherent limitations of automated text analysis. Nevertheless, Iris AI remains an invaluable asset for researchers, enhancing the quality and efficiency of their research endeavors.

Iris AI offers different pricing plans to cater to various user needs:

  • Basic: Free
  • Premium: Monthly ($82.41), Quarterly ($222.49), and Annual ($791.07)

Credits: Iris AI, Best Literature Review Tools for Researchers

#10. Scholarcy – Summarize your literature through AI

Credits:Scholarcy, Best Literature Review Tools for Researchers

Scholarcy is a powerful literature review tool that helps researchers streamline their work. By employing advanced algorithms and natural language processing, it efficiently analyzes and summarizes academic papers, saving researchers valuable time. 

Scholarcy’s ability to extract key information and generate concise summaries makes it an attractive option for scholars looking to quickly grasp the main concepts and findings of multiple papers.

However, it is important to exercise caution when relying solely on Scholarcy. While it provides a useful starting point, engaging with the original research papers is crucial to ensure a comprehensive understanding. 

Scholarcy’s automated summarization may not capture the nuanced interpretations or contextual information presented in the full text. 

Researchers should also be aware that certain types of documents, particularly those with heavy mathematical or technical content, may pose challenges for the tool. 

Despite these considerations, Scholarcy remains a valuable resource for researchers seeking to enhance their literature review process and improve overall efficiency.

Scholarcy offer the following pricing plans:

  • Browser Extension and Flashcards: Free 
  • Personal Library: $9.99
  • Academic Institution License: $8K+

Credits: Scholarcy, Best Literature Review Tools for Researchers

Final Thoughts

In conclusion, conducting a comprehensive literature review is a crucial aspect of any research project, and the availability of reliable and efficient tools can greatly facilitate this process for researchers. This article has explored the top 10 literature review tools that have gained popularity among researchers.

Moreover, the rise of AI-powered tools like Iris.ai and Sci.ai promises to revolutionize the literature review process by automating various tasks and enhancing research efficiency. 

Ultimately, the choice of literature review tool depends on individual preferences and research needs, but the tools presented in this article serve as valuable resources to enhance the quality and productivity of research endeavors. 

Researchers are encouraged to explore and utilize these tools to stay at the forefront of knowledge in their respective fields and contribute to the advancement of science and academia.

Q1. What are literature review tools for researchers?

Literature review tools for researchers are software or online platforms designed to assist researchers in efficiently conducting literature reviews. These tools help researchers find, organize, analyze, and synthesize relevant academic papers and other sources of information.

Q2. What criteria should researchers consider when choosing literature review tools?

When choosing literature review tools, researchers should consider factors such as the tool’s search capabilities, database coverage, user interface, collaboration features, citation management, annotation and highlighting options, integration with reference management software, and data extraction capabilities. 

It’s also essential to consider the tool’s accessibility, cost, and technical support.

Q3. Are there any literature review tools specifically designed for systematic reviews or meta-analyses?

Yes, there are literature review tools that cater specifically to systematic reviews and meta-analyses, which involve a rigorous and structured approach to reviewing existing literature. These tools often provide features tailored to the specific needs of these methodologies, such as:

Screening and eligibility assessment: Systematic review tools typically offer functionalities for screening and assessing the eligibility of studies based on predefined inclusion and exclusion criteria. This streamlines the process of selecting relevant studies for analysis.

Data extraction and quality assessment: These tools often include templates and forms to facilitate data extraction from selected studies. Additionally, they may provide features for assessing the quality and risk of bias in individual studies.

Meta-analysis support: Some literature review tools include statistical analysis features that assist in conducting meta-analyses. These features can help calculate effect sizes, perform statistical tests, and generate forest plots or other visual representations of the meta-analytic results.

Reporting assistance: Many tools provide templates or frameworks for generating systematic review reports, ensuring compliance with established guidelines such as PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses).

Q4. Can literature review tools help with organizing and annotating collected references?

Yes, literature review tools often come equipped with features to help researchers organize and annotate collected references. Some common functionalities include:

Reference management: These tools enable researchers to import references from various sources, such as databases or PDF files, and store them in a central library. They typically allow you to create folders or tags to organize references based on themes or categories.

Annotation capabilities: Many tools provide options for adding annotations, comments, or tags to individual references or specific sections of research articles. This helps researchers keep track of important information, highlight key findings, or note potential connections between different sources.

Full-text search: Literature review tools often offer full-text search functionality, allowing you to search within the content of imported articles or documents. This can be particularly useful when you need to locate specific information or keywords across multiple references.

Integration with citation managers: Some literature review tools integrate with popular citation managers like Zotero, Mendeley, or EndNote, allowing seamless transfer of references and annotations between platforms.

By leveraging these features, researchers can streamline the organization and annotation of their collected references, making it easier to retrieve relevant information during the literature review process.

Photo of author

Leave a Comment Cancel reply

Save my name, email, and website in this browser for the next time I comment.

We maintain and update science journals and scientific metrics. Scientific metrics data are aggregated from publicly available sources. Please note that we do NOT publish research papers on this platform. We do NOT accept any manuscript.

literature review research assistant

2012-2024 © scijournal.org

Ice, Nature, Outdoors, Text, Snow, Land

Research Assistant - Dept. of Social & Behavioral Sciences

  • Richmond, Virginia, United States, 23284
  • Social and Behavioral Sciences
  • Virginia Commonwealth University
  • Literature review
  • Develop study assessments and materials
  • Assist with abstract and manuscript writing
  • Assist with related grant proposal submissions
  • Preparing IRB materials
  • Setting up studies
  • Facilitating and monitoring the recruitment process
  • Interacting with study participants for questions and possible follow-up communication
  • Working on data collection
  • Data cleaning and data analyses
  • Coordinating team meetings
  • Participating in regular project meetings
  • Working with the PI on lab reports and planning
  • Applicants must have a master-level degree or at least 2 years of administrative and research experience
  • Must have a demonstrated commitment to fostering diversity and inclusion in past experiences or a commitment to do so as an hourly employee at VCU

Each agency within the Commonwealth of Virginia is dedicated to recruiting, supporting, and maintaining a competent and diverse work force. Equal Opportunity Employer

Already applied for a job?

Sign up for job alerts

Share this job.

Thank you for sharing this job

Similar Jobs

Behavioral health specialist, compliance coordinator, point of care testing coordinator, investigation manager, state hospital benefits specialist, ada coordinator.

Commonwealth of VA Careers logo

This website uses cookies.

“Cookies” are small files either stored on a server or sent back to a visiting computer. In certain applications user information is stored as cookies, which are then sent back to and stored on the user’s computer. Some sections of the website use cookies to customize the information presented to you. Cookies are also used to aggregate site usage information to help us improve our users’ experience.

Please see our Privacy Policy .

The Commonwealth of Virginia is an Equal Opportunity Employer

It is the policy of the Commonwealth of Virginia to prohibit discrimination on the basis of race, sex, color, national origin, religion, sexual orientation, gender identity, age, veteran status, political affiliation, genetics, or disability in the recruitment, selection, and hiring of its workforce.

Virginia uses E-Verify to check employee eligibility to work in the United States. You will be required to complete an I-9 form and provide documentation of your identity for employment purposes. To check your current eligibility visit Self Check .

Need Accommodations

If you need accommodations as an applicant, please contact the Human Resources Office of the hiring agency directly for more information.

For technical questions, please complete and submit this form . For job related questions, please contact the agency contact on the job posting.

Analyze research papers at superhuman speed

Search for research papers, get one sentence abstract summaries, select relevant papers and search for more like them, extract details from papers into an organized table.

literature review research assistant

Find themes and concepts across many papers

Don't just take our word for it.

literature review research assistant

Tons of features to speed up your research

Upload your own pdfs, orient with a quick summary, view sources for every answer, ask questions to papers, research for the machine intelligence age, pick a plan that's right for you, enterprise and institutions, custom pricing, common questions. great answers., how do researchers use elicit.

Over 800,000 researchers have tried Elicit already. Researchers commonly use Elicit to:

  • Speed up literature review
  • Find papers they couldn’t find elsewhere
  • Automate systematic reviews and meta-analyses
  • Learn about a new domain

Elicit tends to work best for empirical domains that involve experiments and concrete results. This type of research is common in biomedicine and machine learning.

What is Elicit not a good fit for?

Elicit does not currently answer questions or surface information that is not written about in an academic paper. It tends to work less well for identifying facts (e.g. “How many cars were sold in Malaysia last year?”) and theoretical or non-empirical domains.

What types of data can Elicit search over?

Elicit searches across 200 million academic papers from the Semantic Scholar corpus, which covers all academic disciplines. When you extract data from papers in Elicit, Elicit will use the full text if available or the abstract if not.

How accurate are the answers in Elicit?

A good rule of thumb is to assume that around 90% of the information you see in Elicit is accurate. While we do our best to increase accuracy without skyrocketing costs, it’s very important for you to check the work in Elicit closely. We try to make this easier for you by identifying all of the sources for information generated with language models.

What is Elicit Plus?

Elicit Plus is Elicit's subscription offering, which comes with a set of features, as well as monthly credits. On Elicit Plus, you may use up to 12,000 credits a month. Unused monthly credits do not carry forward into the next month. Plus subscriptions auto-renew every month.

What are credits?

Elicit uses a credit system to pay for the costs of running our app. When you run workflows and add columns to tables it will cost you credits. When you sign up you get 5,000 credits to use. Once those run out, you'll need to subscribe to Elicit Plus to get more. Credits are non-transferable.

How can you get in contact with the team?

Please email us at [email protected] or post in our Slack community if you have feedback or general comments! We log and incorporate all user comments. If you have a problem, please email [email protected] and we will try to help you as soon as possible.

What happens to papers uploaded to Elicit?

When you upload papers to analyze in Elicit, those papers will remain private to you and will not be shared with anyone else.

How accurate is Elicit?

Training our models on specific tasks, searching over academic papers, making it easy to double-check answers, save time, think more. try elicit for free..

IMAGES

  1. 50 Smart Literature Review Templates (APA) ᐅ TemplateLab

    literature review research assistant

  2. Literature Review For Qualitative Research

    literature review research assistant

  3. Literature Review: Short Writing Guidelines & 4 Examples

    literature review research assistant

  4. 39 Best Literature Review Examples (Guide & Samples)

    literature review research assistant

  5. 50 Smart Literature Review Templates (APA) ᐅ TemplateLab

    literature review research assistant

  6. 50 Smart Literature Review Templates (APA) ᐅ TemplateLab

    literature review research assistant

VIDEO

  1. Write Your Literature Review FAST

  2. Literature Review Research Methodology

  3. Effective Review of Literature

  4. Literature Review 101

  5. Literature Review In ONE Day

  6. Review of Literature #research #researchproposal

COMMENTS

  1. Research Assistant Literature Review jobs

    2,129 Research Assistant Literature Review jobs available on Indeed.com. Apply to Research Assistant, Registered Nurse - Acute Care, Family Nurse Practitioner and more!

  2. Elicit: The AI Research Assistant

    The AI Research Assistant Elicit uses language models to help you automate research workflows, like parts of literature review. Elicit can find relevant papers without perfect keyword match, summarize takeaways from the paper specific to your question, and extract key information from the papers.

  3. Litmaps

    Litmaps | Your Literature Review Assistant Discover the world of Scientific Literature LITERATURE REVIEW SOFTWARE FOR BETTER RESEARCH Used by 250,000+ researchers, students and professionals across 150 countries. Discover Discover the most relevant academic papers faster LEARN MORE Visualize See your research from a bird's-eye view LEARN MORE

  4. Literature Review Assistant Jobs, Employment

    2,974 Literature Review Assistant jobs available on Indeed.com. Apply to Research Assistant, Program Assistant, Research Associate and more!

  5. Literature Research Assistant Jobs, Employment

    3,287 Literature Research Assistant jobs available on Indeed.com. Apply to Research Assistant, Clinical Research Associate, Student Researcher and more!

  6. 107,716 Research Assistant Literature Review Jobs

    Two Research Assistants will work collaboratively and will be responsible for: 1) a literature review); 2) expert interviews; and 3) field research to investigate and produce three case studies of ...

  7. Research Guides: AI-Based Literature Review Tools: Home

    AI-POWERED RESEARCH ASSISTANT - finding papers, filtering study types, automating research flow, brainstorming, summarizing and more. "Elicit is a research assistant using language models like GPT-3 to automate parts of researchers' workflows. Currently, the main workflow in Elicit is Literature Review.

  8. Elicit: AI-Powered Research Assistant for Literature Review

    Elicit is an innovative AI research assistant that aims to revolutionize the research process by automating literature review and other research workflows. The Power of Elicit Built on advanced language models like GPT-3, Elicit goes beyond simple keyword searches to find relevant papers based on semantic similarity.

  9. How to Write a Literature Review

    Step 1 - Search for relevant literature Step 2 - Evaluate and select sources Step 3 - Identify themes, debates, and gaps Step 4 - Outline your literature review's structure Step 5 - Write your literature review Free lecture slides Other interesting articles Frequently asked questions Introduction Quick Run-through Step 1 & 2 Step 3 Step 4 Step 5

  10. Enago Read (Prev. Raxter)

    Enago Read - Research assistant tool helps with literature review, critical analysis, summarizing, and more. ... Enago Read is an AI assistant that speeds up the literature review process, offering summaries and key insights to save researchers reading time. It boosts productivity with advanced AI technology and the Copilot feature, enabling ...

  11. AI Tools To Automate Your Literature Review: Which To Use?

    Published on: December 22, 2023 Researching and writing outa literature review can be a daunting task, but AI-powered tools like Semantic Scholar, Research Rabbit, and Scite are revolutionising this process.

  12. Start Your Literature Review Here! || Elicit AI Research Assistant

    Start Your Literature Review Here! || Elicit AI Research Assistant Literature Review Tool Tutorial Science Grad School Coach 23.2K subscribers Subscribe Subscribed 494 Share 19K views...

  13. Literature Review & Critical Analysis Tool for Researchers

    Literature Review and Critical Analysis tool for Researchers | Enago Read Your all in one AI-powered Reading Assistant A Reading Space to Ideate, Create Knowledge, & Collaborate on Your Research Smartly organize your research Receive recommendations that can not be ignored Collaborate with your team to read, discuss, and share knowledge

  14. Research Assistant Literature Review Jobs jobs

    1,929 Research Assistant Literature Review Jobs jobs available on Indeed.com. Apply to Research Assistant, Pricing Conslt, Graduate Researcher and more!

  15. Research Study Assistant

    Research Study Assistant. Location: Madison, Wisconsin. Department: SCHOOL OF MEDICINE AND PUBLIC HEALTH/DEPARTMENT OF MEDICINE. Category: Research. Employment Type: Partially Remote. Employment Type: Staff-Full Time. Application Period Opens: Jan 30 2024 at 3:30 PM CST. Apply By: Feb 13 2024 at 11:55 PM CST. Job Number: 292663-AS.

  16. 10 Best Literature Review Tools for Researchers

    7. RAx. Researchers to perform efficient literature search and analysis, aiding in identifying relevant articles, saving time, and improving the quality of research. 8. Lateral. Discovering relevant scientific articles and identify potential research collaborators based on user interests and preferences. 9. Iris AI.

  17. Elicit: AI literature review research assistant: Public Services

    Elicit: AI literature review research assistant Sharon Whitfield & Melissa A. Hofmann Pages 201-207 | Published online: 19 Sep 2023 Cite this article https://doi.org/10.1080/15228959.2023.2224125 Full Article Figures & data References Citations Metrics Reprints & Permissions Read this article

  18. Research Assistant

    The Department of Social & Behavioral Sciences, within the School of Population Health, is in search of a part-time Research Assistant. Research Responsibilities: Literature review Develop study assessments and materials Assist with abstract and manuscript writing Assist with related grant proposal submissions Administrative Responsibilities ...

  19. AI Literature Review Generator

    A literature review is a comprehensive analysis and evaluation of scholarly articles, books and other sources concerning a particular field of study or a research question. This process involves discussing the state of the art of an area of research and identifying pivotal works and researchers in the domain.

  20. Literature Review Research Student Assistant jobs

    1,125 Literature Review Research Student Assistant jobs available on Indeed.com. Apply to Research Assistant, Student Researcher, Clinical Research Associate and more!

  21. Elicit: AI literature review research assistant

    Yet, through the use of language learning models (LLM), AI may be used as a tool to increase efficiency, perform repetitive tasks, and aid with research and analysis. It is through the lens of AI as a tool, not as a concern or replacement of human involvement, that the authors examined Elicit.org, a literature review search tool that uses LLM ...

  22. Research Assistant Literature Review Jobs

    59 reviews London £33,558 - £38,541 a year You must create an Indeed account before continuing to the company website to apply Apply now Location London Benefits Pulled from the full job description Company pension LSE is committed to building a diverse, equitable and truly inclusive university

  23. Psychology Research Assistant Literature Review Jobs ...

    221 Psychology Research Assistant Literature Review jobs available on Indeed.com. Apply to Research Assistant, Research Specialist, Clinical Research Associate and more!

  24. Elicit: AI literature review research assistant

    Download Citation | On Sep 19, 2023, Sharon Whitfield and others published Elicit: AI literature review research assistant | Find, read and cite all the research you need on ResearchGate

  25. Elicit

    Researchers commonly use Elicit to: Speed up literature review. Find papers they couldn't find elsewhere. Automate systematic reviews and meta-analyses. Learn about a new domain. Elicit tends to work best for empirical domains that involve experiments and concrete results. This type of research is common in biomedicine and machine learning.