Kim Yeon Hak, Levine Aaron D, Nehl Eric J, Walsh John P
Ministry of Science and ICT, Sejong, Republic of Korea.
School of Public Policy, Georgia Institute of Technology, Atlanta, GA USA.
Scientometrics. 2020 Dec;125(3):2349-2382. doi: 10.1007/s11192-020-03668-2. Epub 2020 Aug 17.
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.
科学资助者越来越要求即便是基础研究也要有更广泛影响的证据。美国国立卫生研究院（NIH）的临床与转化科学奖（CTSA）项目等举措旨在将研究重点转向更多的转化研究。然而，追踪此类项目的有效性取决于开发能够追踪基础研究对临床研究影响程度的指标。我们提出了一种新的文献计量指标——TS分数，它计算相对简单，可以大规模实施，易于复制，并且具有良好的可靠性和有效性。该指标广泛适用于旨在估计基础研究在更多应用下游研究中的使用程度（相对于基础研究中的使用）的情况。TS分数应用于各种政策分析和研究评估目的。
