Metrics Associated With NIH Funding: A High-Level View

[Kevin Boyack]

Dear colleagues,

 

We have a new article available at JAMIA Online First
(http://jamia.bmj.com/content/early/2011/04/27/amiajnl-2011-000213.abstract)
. 

 

Self-archived preprint:
http://www.mapofscience.com/images/pdf/JAMIA_final.pdf 

 

With best regards,

Kevin Boyack, SciTech Strategies, Inc.

Paul Jordan, National Institutes of Health, Office of Research Information
Systems

 

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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 grant contributes to approximately 1.7 articles per year, averaged over
all grant types. Articles acknowledging U.S. Public Health Service (PHS,
which includes NIH) funding are cited twice as much as U.S. authored
articles acknowledging no funding source. Articles acknowledging both PHS
funding and a non-U.S. government funding source receive on average 40% more
citations that those acknowledging PHS funding sources alone. 

 

Conclusion: The U.S. PHS is effective at funding research with higher than
average impact. The data are amenable to further and much more detailed
analysis.

 

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