AI Article Synopsis
- Translational research has seen substantial growth recently, driven by federal funding and a rise in related publications.
- Current measurement approaches are limited and primarily focused on individual projects, failing to capture overall progress in institutions or networks.
- To better assess the impact of investments in this field, a change in methodology to include scientometrics and network science is necessary.
Article Abstract
Translational research as a discipline has experienced explosive growth over the last decade as evidenced by significant federal investment and the exponential increase in related publications. However, narrow project-focused or process-based measurement approaches have resulted in insufficient techniques to measure the translational progress of institutions or large-scale networks. A shift from traditional industrial engineering approaches to systematic investigation using the techniques of scientometrics and network science will be required to assess the impact of investments in translational research.
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Source |
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5890312 | PMC |
| http://dx.doi.org/10.1017/cts.2017.14 | DOI Listing |
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