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This is a gzipped three-column TSV file that has 138,749,325 prefixes, identifiers, and names for lots of biomedical entities, drawing from the OBO Foundry, ontologies in the Ontology Lookup Service, and many other nomenclature consortia that just haven't made it to the prime-time of standardized goodness. Ultimately, this dataset helps answer the question: what's my name? It's really a lot of work to get this stuff, so I tried to make it easy. It was generated with the following code in the shell: pip install pyobo obo database names More information on how and why this resource was made is available at https://cthoyt.com/2020/04/18/ooh-na-na.html.
The 1.2.0 version includes the addition of PubChem, ChEBML, and NPASS
Nomenclature, Ontologies, Controlled Vocabularies
Nomenclature, Ontologies, Controlled Vocabularies
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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