Bragg Kristine M, Marchand Gwen C, Hilpert Jonathan C, Cummings Jeffrey L
Department of Educational Psychology and Higher Education, College of Education, University of Nevada, Las Vegas, Las Vegas, NV, USA.
Chambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, School of Integrated Health Sciences, University of Nevada, Las Vegas, Las Vegas, NV, USA.
J Clin Transl Sci. 2021 Oct 7;6(1):e72. doi: 10.1017/cts.2021.863. eCollection 2022.
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.
Bibliometric data compiled from a 5-year funding cycle of neurodegeneration and translational neuroscience research center were analyzed using the package bibliometrix for open-source software R and the NIH-developed research tool iCite.
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 relative citation ratio, the publications produced by the research team were found to be influential when compared to other R01-funded publications.
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.
联邦拨款资助转化性生物医学研究中心的基础设施建设是一种公共卫生干预形式。建立严格的方法来衡量中心的成功与成果对于证明持续拨款的合理性至关重要。
使用适用于开源软件R的bibliometrix软件包和美国国立卫生研究院开发的研究工具iCite，对从神经退行性疾病和转化神经科学研究中心5年资助周期中汇编的文献计量数据进行分析。
研究团队及其合作者（共485人）在2015年至2020年期间发表了157篇被资助项目引用的论文。这些研究成果由围绕三个主要主题领域聚集的小型研究团队产出：阿尔茨海默病、脑成像以及老年人的神经心理测试。通过相对引用率发现，与其他由R01资助的出版物相比，该研究团队发表的论文具有影响力。
文献计量分析的最新进展超越了传统的测量能力，能够更好地理解研究团队的特征、成果和影响力。这些发现可用于向研究人员和机构提供有关研究团队组成、生产力和成功情况的信息。研究影响力的衡量标准可用于向资助者证明投资回报的合理性。
