Document Type

Article

Publication Date

10-7-2021

Publication Title

Journal of Clinical and Translational Science

First page number:

1

Last page number:

24

Abstract

Introduction. Federal grant funding to support infrastructure development of translational biomedical research centers is a form of public health intervention. Establishing rigorous methods for measuring center success and outcomes is essential to justify continued funding. Methods. Bibliometric data compiled from a 5-year funding cycle of a neurodegeneration and translational neuroscience research center was analyzed using the package bibliometrix for open source software R and the NIH-developed research tool iCite. Results. The research team and their collaborators (n=485) produced 157 grant-citing publications from 2015-2020. The science was produced by small research teams clustered around three main communities of topics: Alzheimer's Disease, brain imaging, and neuropsychological testing in the elderly. Using the RCR, the publications produced by the research team were found to be influential when compared to other R01-funded publications. Conclusion. Recent developments in bibliometric analysis expand beyond traditional measurement capabilities to better understand the characteristics, outcomes and influences of research teams. These findings can be used to inform researchers and institutions about research team composition, productivity, and success. Measures of research influence may be used to justify return on investment to funders.

Keywords

Alzheimer's disease; Bibliometrics; COBRE; NIGMS; Research; Science of team science; Social network analysis

Disciplines

Biomedical

File Format

pdf

File Size

337 KB

Language

English

Rights

IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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