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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
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A Bibliometric Measure of Translational Science
Yeon Hak Kim1, Aaron D Levine2, Eric J Nehl3
1Ministry of Science and ICT, Sejong, Republic of Korea.
Scientometrics
|March 22, 2021
Summary
A new TS score metric helps track how basic research influences clinical applications. This bibliometric tool aids funders and researchers in evaluating translational research impact effectively.
Area of Science:
- Bibliometrics
- Research Evaluation
- Translational Science
Background:
- Growing demand from science funders for evidence of research broader impacts.
- Initiatives like the NIH's CTSA program aim to increase translational research.
- Need for reliable indicators to measure basic research influence on clinical research.
Purpose of the Study:
- Introduce a novel bibliometric indicator, the TS score.
- Provide a scalable, replicable, and valid method for assessing research impact.
- Estimate the extent to which basic research informs applied downstream research.
Main Methods:
- Development of the TS score, a bibliometric indicator.
- Focus on calculating the ratio of basic research use in applied versus basic contexts.
- Ensuring the indicator's simplicity, scalability, and reproducibility.
Main Results:
- The TS score is proposed as a new bibliometric indicator.
- It is designed to be simple, scalable, replicable, reliable, and valid.
- Applicable for estimating basic research's influence on downstream research.
Conclusions:
- The TS score offers a practical solution for tracking translational research.
- It assists in evaluating the impact of basic science on clinical applications.
- Useful for policy analysis and research evaluation in science funding and research institutions.
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