A bibliometric measure of translational science

Yeon Hak Kim, Aaron D. Levine, Eric J. Nehl and John P. Walsh ()
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Yeon Hak Kim: Ministry of Science and ICT
Aaron D. Levine: Georgia Institute of Technology
Eric J. Nehl: Emory University
John P. Walsh: Georgia Institute of Technology

Scientometrics, 2020, vol. 125, issue 3, No 21, 2349-2382

Abstract: Abstract Science funders are increasingly requiring evidence of the broader impacts of even basic research. Initiatives such as NIH’s CTSA program are designed to shift the research focus toward more translational research. However, tracking the effectiveness of such programs depends on developing indicators that can track the degree to which basic research is influencing clinical research. We propose a new bibliometric indicator, the TS score, that is relatively simple to calculate, can be implemented at scale, is easy to replicate, and has good reliability and validity properties. This indicator is broadly applicable in settings where the goal is to estimate the degree to which basic research is used in more applied downstream research, relative to use in basic research. The TS score should be of use for a variety of policy analysis and research evaluation purposes.

Keywords: Translational research; Indicators; Citation analysis; Research evaluation (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (6)

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DOI: 10.1007/s11192-020-03668-2

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