Repurposing data from NIH's iCite to dynamically provide bibliometric-based decision support

Leaders at academic medical institutions regularly need bibliometric analyses to inform their decisions, but are often forced to settle for crude metrics such as journal impact factor or raw citation counts for individual articles. To meet this need, we will use publications authored by a given person, harvest relevant statistics from NIH's iCite service, and dynamically generate a sophisticated report for that person. The report will include a bibliometric summary of a person's scholarly output, listing that individual's most influential publications, computing h-index and h5-index, and benchmarking that output relative to institutional peers. This report will be made available to authorized users through a web interface or a simple database query. Information from this report will support a variety of needs such as promotion and tenure committee and annual faculty assessments; underlying data can be used for ad hoc reporting. All tools will be made available in an open-source repository.


Project Lead: Weill Cornell Medical College
Project Lead: Paul Albert


Sexual & Gender Minorities: Women
Roles of Participants Project is Intended to Serve: Data Scientist, Library or Information Professional, Researcher

Award Details

Funding Source: Region 7
Project Category: Improvement
Period of Performance: Sep 14, 2021 - Apr 30, 2022
Project Status: Completed

Project Funding

Federal Fiscal Year 2021: $14,829