One reason you may get more results in Meta than in PubMed is because Meta includes preprints from bioRxiv. 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 Interest 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?
