One reason you may get more results in Meta than in PubMed is because Meta includes preprints from bioRxiv, medRxiv, q-bio, and other preprint servers, as well as a broad array of additional content types (please see What content is included in Meta?). Second, Meta uses machine learning to scan new biomedical articles, analyze and incorporate them into a dynamic map of biomedical concepts—every journal, researcher, disease, gene, protein, pathway, protocol and more. This allows Meta to capture much more information about a paper than keywords. Third, Meta may expand your search queries to include related concepts or terms, and therefore return more results.
Articles in this section
- How do I search in Meta?
- How are my search results ordered?
- Which journals does Meta cover?
- Why do I get more results in Meta than in PubMed?
- Does Meta recognize abbreviations and acronyms?
- Why doesn’t my term appear when I search Meta? How can I add it?
- How does Meta generate concept recommendations?
- How do I search for preprints only?
- How can I access older and historical papers?
- The papers attributed to me or another researcher are incorrect. How can I report the error?