Consensus searches through a database of over 220 million peer-reviewed research papers from top-quality journals worldwide. The dataset is updated weekly to ensure access to the latest research. When full text is available, Consensus can read the full paper, not just the abstract, to help generate sharper results and more grounded AI analysis.

The paper data in our product comes from:

You can search across two datasets in Consensus:

Choose your preferred dataset using the sources dropdown in the search bar before running your query.

Consensus has partnerships with the following publishers:

Through these partnerships, Consensus is able to access the full text of participating articles for AI-powered analysis within the platform.

This full-text access helps Consensus evaluate more than just the abstract. When available, Consensus can use the methods, findings, and discussion sections to provide sharper results.

Please note: while our system may use full-text content to generate summaries, tables, and analyses, the articles themselves may remain behind the publisher’s paywall. Access to view or download the full article depends on the user’s institutional or personal subscription.

Full-text access is not available for every paper in Consensus. When full text is not available through a publisher partnership or open-access source, Consensus will rely on the best available metadata, abstract, and indexed paper information.

Most research tools rely heavily on titles and abstracts. Consensus can go deeper when full text is available.

Full-text access allows Consensus to analyze more of the paper, including methods, findings, and discussion sections. This helps improve search quality, reduce irrelevant results, and ground AI-generated summaries and analyses in more complete paper context.

Consensus can access full text through publisher partnerships and open-access PDFs. Full-text availability varies by paper.

Scimago Journal Rank measures the influence of journals within a domain. Scores are divided into quartiles.

Q1 journals consist of the top 25% of journals in their field based on metrics like impact factor and the number of citations they receive. These journals are considered highly prestigious and influential within their respective categories. See all Q1 Journals here.

Consensus includes coverage of a substantial portion of Q1 journals across disciplines, reflecting our broad representation of high-impact research.

Ca-A Cancer Journal for Clinicians, Foundations and Trends in Machine Learning, Nature Reviews Molecular Cell Biology, Quarterly Journal of Economics, Nature Reviews Cancer, Cell, Nature Reviews Drug Discovery, American Economic Review, Nature Reviews Materials, Nature Reviews Clinical Oncology, New England Journal of Medicine, Journal of Finance, Nature Medicine, Current Protocols in Bioinformatics, MMWR Supplements, Journal of Political Economy, Nature, Nature Biotechnology, Chemical Reviews, Econometrica, Review of Financial Studies, Cancer Cell, Nature Energy, Nature Genetics, Reviews of Modern Physics, Nature Reviews Immunology, IEEE Communications Surveys and Tutorials, World Psychiatry, Annual Review of Immunology, National Vital Statistics Reports, Nature Methods, Advances in Physics, Nano Research Energy, MMWR Recommendations and Reports, Academy of Management Annals, Nature Nanotechnology, Nature Reviews Genetics, Nature Materials, Administrative Science Quarterly, Annals of Oncology, Annual Review of Astronomy and Astrophysics, Journal of Financial Economics, Review of Economic Studies, Immunity, Nature Catalysis, Morbidity and Mortality Weekly Report, Chemical Society Reviews, American Economic Journal: Macroeconomics, Nature Reviews Methods Primers, eScience

Semantic Scholar sources its content from over 50 direct partnerships with publishers, data providers, and aggregators. This covers over 500 academic journals, university presses, and scholarly societies worldwide. Read more here.

Association for Computational Linguistics, ACM, arXiv.org, BioOne, bioRxiv, BMJ Journals, Cambridge University Press, CiteSeerX, Clinical Trials Transformation Initiative, dblp, De Gruyter, Frontiers, HAL, HighWire, IEEE, IOP Publishing, Karger, medRxiv, Microsoft, Papers with Code, Project Muse, PubMed, SAGE Publishing, Science, Scientific.net, Scitepress Digital Library, Springer Nature, SPIE, SSRN, Taylor & Francis Group, The MIT Press, The Royal Society Publishing, The University of Chicago Press, Wiley, Wolters Kluwer

OpenAlex is an open-source database that indexes research from around the world by connecting papers, authors, institutions, journals, topics, and more. It collects academic data from open-access sources, making it easier to discover and analyze research at scale. Consensus uses OpenAlex as one of its data sources to ensure broad and reliable coverage of peer-reviewed literature.

Through Semantic Scholar and related publishing partners, Consensus provides access to the full PubMed corpus within our database.

PubMed contains over 37 million biomedical and life sciences records, and these are searchable within Consensus.
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Try one of our powerful biomedical search filters today to get the most out of our research: does fish oil improve mood?

Any retracted paper is clearly marked with a '⚠️RETRACTED' badge so it’s easy to identify.

Just as important, retracted papers are never used in our analyses or summaries, so they do not influence the answers Consensus provides.

Any other questions? Contact us at [email protected] or via the Support Chat.