Skip Navigation

Meta Help Center

Meta's data is collected directly from PubMed, as well as other gold-standard academic ontologies such as MeSH, OMIM and the Gene Ontology. Similar to how humans read, Meta uses machine learning to quickly analyze, map and cluster tens of millions of scientific papers and preprints.  

Full-text access to research articles enables us to index all elements of the literature, resulting in the most comprehensive database of biomedical concepts you can follow or search.
https://help.meta.org/hc/en-us/articles/360015539931-How-does-Meta-extract-biomedical-concepts-such-as-researchers-journals-diseases-genes-proteins-and-pathways-from-papers-
help.meta.org
crawl=CC-MAIN-2020-16
19910
application/http; msgtype=response
sha1:54Q5BYPASAUVGU7SEAIPEMX7MPRQ3DFG
<urn:uuid:2dc1ed8b-57eb-47c1-ba33-0bde554635fa>
2020-04-06T00:44:02Z
104.16.55.111
text/html
sha1:QBYTYEAHMWSIGFOP7VZGUX3KCHDPTDCP
<urn:uuid:9d98fe98-df13-4a47-a2dc-14ebd10e0a00>
https://help.meta.org/hc/en-us/articles/360015539931-How-does-Meta-extract-biomedical-concepts-such-as-researchers-journals-diseases-genes-proteins-and-pathways-from-papers-
response
<urn:uuid:bef5c254-eb89-4b7c-a0a6-c32e98eb1a61>
isPartOf: CC-MAIN-2020-16
publisher: Common Crawl
description: Wide crawl of the web for March/April 2020
operator: Common Crawl Admin (info@commoncrawl.org)
hostname: ip-10-67-67-212.ec2.internal
software: Apache Nutch 1.16 (modified, https://github.com/commoncrawl/nutch/)
robots: checked via crawler-commons 1.1-SNAPSHOT (https://github.com/crawler-commons/crawler-commons)
format: WARC File Format 1.1
conformsTo: http://iipc.github.io/warc-specifications/specifications/warc-format/warc-1.1/