Metrics associated with NIH funding: a high-level view

Objective: To introduce the availability of grant-to-article linkage data associated with NIH grants and to perform a high-level analysis of the publication outputs and impacts associated with those grants. Design: Articles were linked to the grants they acknowledge using the grant acknowledgement strings in PubMed using a parsing and matching process as embodied in the NIH SPIRES system. Additional data from PubMed and citation counts from Scopus were added to the linkage data. The data comprise 2,572,576 records from 1980-2009. Results: The data show that synergies between NIH institutes are increasing over time; 29% of current articles acknowledge grants from multiple institutes. The median time lag to publication for a new grant is 3 years. Each

• Type: Journal
• Year: 2011
• Where: JAMIA
• Authors: Kevin W. Boyack, Paul Jordan
• Keywords: Algorithms, Citation Counts, JAMIA 2011, Linkage Data, Nih Grants