Saylor Innovations Data Desk – PubMed iCite Paper Impact is a paid API for AI agents from saylorinnovations.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Retrieves NIH iCite bibliometric data for up to 20 PubMed IDs, including citation counts, Relative Citation Ratio, NIH percentile, clinical flags, and translation potential
Paper impact for PubMed IDs from NIH iCite - citations, Relative Citation Ratio, NIH percentile, expected rate, clinical flags and translation potential
A JSON object containing a count of returned articles and an array of article objects, each with fields including PMID, DOI, title, authors, journal, year, citation count, citations per year, field citation rate, expected citations per year, Relative Citation Ratio, NIH percentile, human/animal/molecular-cellular shares, clinical flag, cited-by-clinical-article flag, and potential-to-translate score. A source field identifies NIH iCite and a note field may provide caveats.
GEThttps://saylorinnovations.com/api/papers/icite?utm_source=zero.xyzUse this endpoint when you need structured NIH iCite bibliometric data for specific PubMed-indexed papers identified by PMID. It is ideal for grant writing, systematic reviews, research evaluation, or any workflow requiring Relative Citation Ratio, NIH percentile, or clinical/translation flags for up to 20 papers at a time. Prefer this over general web searches or PubMed abstract lookups when quantitative citation impact data is required.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
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