Icite Tools#
Configuration File: icite_tools.json
Tool Type: Local
Tools Count: 2
This page contains all tools defined in the icite_tools.json configuration file.
Available Tools#
iCite_get_publications (Type: BaseRESTTool)#
Get citation metrics and research context for PubMed publications using NIH’s iCite API. iCite pr…
iCite_get_publications tool specification
Tool Information:
Name:
iCite_get_publicationsType:
BaseRESTToolDescription: Get citation metrics and research context for PubMed publications using NIH’s iCite API. iCite provides evidence-based metrics including citation counts, relative citation ratios (RCR), approximate potential to translate (APT) scores for clinical translation, NIH percentile rankings, and research category flags (human/animal/molecular-cellular). Returns all available citations and the full list of citing PMIDs. Essential for evaluating scientific impact, identifying highly-cited papers, and assessing translational potential of biomedical research. Example: PMID 31510562 has citation_count=6, nih_percentile=29.0.
Parameters:
pmids(string) (required) Comma-separated PubMed IDs to look up (e.g., ‘24453150,24453148,31510562’). Maximum ~100 PMIDs per request.
Example Usage:
query = {
"name": "iCite_get_publications",
"arguments": {
"pmids": "example_value"
}
}
result = tu.run(query)
iCite_search_publications (Type: ICiteSearchPublicationsTool)#
Search PubMed by relevance and enrich one recoverable result page with NIH iCite citation metrics…
iCite_search_publications tool specification
Tool Information:
Name:
iCite_search_publicationsType:
ICiteSearchPublicationsToolDescription: Search PubMed by relevance and enrich one recoverable result page with NIH iCite citation metrics. Metadata reports PubMed’s exact total_results, next_offset, enrichment completeness, and any PMIDs omitted by iCite. Results are sorted by citation_count within the current PubMed relevance page only, not across the complete query result set.
Parameters:
query(string) (required) Search query for PubMed (e.g., ‘BRCA1 cancer’, ‘COVID-19 vaccine efficacy’, ‘CRISPR gene editing’)limit([‘integer’, ‘null’]) (optional) Maximum number of PubMed records to enrich on this page (default 10, max 1000)offset([‘integer’, ‘null’]) (optional) Zero-based PubMed relevance offset. Continue with metadata.next_offset while has_more is true.
Example Usage:
query = {
"name": "iCite_search_publications",
"arguments": {
"query": "example_value"
}
}
result = tu.run(query)