It's big. And it's only getting bigger!
BenchSci has the world’s most powerful and comprehensive biomedical experiment-focused dataset and ontology, built using proprietary machine learning models that understand experiments like a Ph.D. scientist.
Our database includes peer-reviewed publications, preprints, abstracts, patents, internal client data, and several third-party databases. We have over 22 million full-text scientific publications coupled with millions of publication abstracts from both open- and closed-access publishers to extract and analyze experimental figures, experimental insights, reagent/model system usage information, and more. We also have over 90 million products, which we cross-reference with vendor catalogs and third-party validators.
We are always adding new data from these sources so the numbers are always increasing.
All of our open-access content includes articles published on PubMed Central within the last 15 years. Many papers are subject to the National Institute of Health (NIH) 2008 Open Access Policy, which ensures that all publications describing research funded by the NIH are made publicly available within 12 months of publication.
Our closed-access content includes articles from our publishing partners listed here:
- Oxford University Press (Click here to read more)
- Springer Nature
- Wiley
- Proceedings of the National Academy of Sciences (PNAS)
- Wolters Kluwer
- The Journal of the American Medical Association (JAMA)
- Karger
- Federation of American Societies for Experimental Biology (FASEB)
- American Society for Pharmacology and Experimental Therapeutics (ASPET)
- Taylor & Francis
- Mary Ann Liebert Inc.
- The Company of Biologists
If you are a publisher that is interested in our free indexing service please fill out our contact form or email us at support@benchsci.com.