At AcademicLabs:

• We go beyond 37m PubMed publications and include 50m+ STEM publications from the last 10 years that are not in PubMed. For example, 70% of COVID-19 publications are not in PubMed.
• We provide preprints to find highly relevant new research asap. Note we may have a preprint and a full publication version as separate documents. In a later stage we’ll merge those.
• We combine textual search (including synonyms and stemming) and a sort of semantic search (via AI annotated keywords) so you don't miss out on many more relevant publications

  • Synonyms: we by default search from synonyms from MeSH and a huge gene database. This includes also variations of drug names, diseases, genes, etc.

    

  • Stemming: e.g. search ‘immune’ will also find ‘immunological’, ‘immunity’, etc. This prevents having to add many variations of a term using OR to not miss out on key research.

  • Semantic: our publications have AI labeled concepts which you search through. So if a publications is about COVID-19 but does not mention ‘infectious diseases’, you’d still find the paper when querying ‘infectious diseases’ as the publication will be labeled as such. Note: you can always choose to search only by title and abstract via ‘Search By’ if you don’t want this search behavior.