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常用文献计量学在评估转化医学科研中的可行性

Feasibility of common bibliometrics in evaluating translational science.

作者信息

Schneider M, Kane C M, Rainwater J, Guerrero L, Tong G, Desai S R, Trochim W

机构信息

School of Social Ecology, Institute for Clinical and Translational Science, University of California, Irvine, CA, USA.

Cornell Office for Research on Evaluation, Weill Cornell Medical College, Ithaca, New York, USA.

出版信息

J Clin Transl Sci. 2017 Feb;1(1):45-52. doi: 10.1017/cts.2016.8. Epub 2017 Jan 31.

Abstract

INTRODUCTION

A pilot study by 6 Clinical and Translational Science Awards (CTSAs) explored how bibliometrics can be used to assess research influence.

METHODS

Evaluators from 6 institutions shared data on publications (4202 total) they supported, and conducted a combined analysis with state-of-the-art tools. This paper presents selected results based on the tools from 2 widely used vendors for bibliometrics: Thomson Reuters and Elsevier.

RESULTS

Both vendors located a high percentage of publications within their proprietary databases (>90%) and provided similar but not equivalent bibliometrics for estimating productivity (number of publications) and influence (citation rates, percentage of papers in the top 10% of citations, observed citations relative to expected citations). A recently available bibliometric from the National Institutes of Health Office of Portfolio Analysis, examined after the initial analysis, showed tremendous potential for use in the CTSA context.

CONCLUSION

Despite challenges in making cross-CTSA comparisons, bibliometrics can enhance our understanding of the value of CTSA-supported clinical and translational research.

摘要

引言

6个临床与转化科学奖(CTSA)开展的一项试点研究探讨了如何利用文献计量学评估研究影响力。

方法

来自6家机构的评估人员分享了他们所支持出版物(共计4202篇)的数据,并使用最先进的工具进行了综合分析。本文展示了基于文献计量学领域2家广泛使用的供应商(汤森路透和爱思唯尔)工具的选定结果。

结果

两家供应商在其专有数据库中都定位到了很高比例的出版物(>90%),并为估计生产力(出版物数量)和影响力(引用率、处于引用排名前10%的论文百分比、观察到的引用相对于预期引用)提供了相似但不等同的文献计量学指标。在初步分析之后对美国国立卫生研究院项目分析办公室最近提供的文献计量学指标进行检查时发现,其在CTSA背景下具有巨大的应用潜力。

结论

尽管在进行跨CTSA比较时存在挑战,但文献计量学可以增进我们对CTSA支持的临床和转化研究价值的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bac/6797378/3a6604429072/S205986611600008X_fig1.jpg

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