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通过文献计量学、社会网络分析和替代计量学评估2008年至2021年CTSA项目的影响。

Evaluating the impact of a CTSA program from 2008 to 2021 through bibliometrics, social network analysis, and altmetrics.

作者信息

Yu Fei, Patel Tanha, Carnegie Andrea, Dave Gaurav

机构信息

Health Sciences Library, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

North Carolina Translational and Clinical Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

出版信息

J Clin Transl Sci. 2023 Jan 11;7(1):e44. doi: 10.1017/cts.2022.530. eCollection 2023.

Abstract

INTRODUCTION

We evaluate a CTSA program hub by applying bibliometrics, social network analysis (SNA), and altmetrics and examine the changes in research productivity, citation impact, research collaboration, and CTSA-supported research topics since our pilot study in 2017.

METHODS

The sampled data included North Carolina Translational and Clinical Science Institute (NC TraCS)-supported publications produced between September 2008 and March 2021. We applied measures and metrics from bibliometrics, SNA, and altmetrics to the dataset. In addition, we analyzed research topics and correlations between different metrics.

RESULTS

1154 NC TraCS-supported publications generated over 53,560 citation counts by April 2021. The average cites per year and the relative citation ratio (RCR) mean of these publications improved from 33 and 2.26 in 2017 to 48 and 2.58 in 2021. The number of involved UNC units in the most published authors' collaboration network increased from 7 (2017) to 10 (2021). NC TraCS-supported co-authorship involved 61 NC organizations. PlumX metrics identified articles with the highest altmetrics scores. About 96% NC TraCS-supported publications have above the average SciVal Topic Prominence Percentile; the average approximate potential to translate of the included publication was 54.2%; and 177 publications addressed health disparity issues. Bibliometric measures (e.g., citation counts, RCR) and PlumX metrics (i.e., Citations, Captures, and Social-Media) are positively correlated ( < .05).

CONCLUSION

Bibliometrics, SNA, and altmetrics offer distinctive but related perspectives to examine CTSA research performance and longitudinal growth, especially at the individual program hub level. These perspectives can help CTSAs build program foci.

摘要

引言

我们通过应用文献计量学、社会网络分析(SNA)和替代计量学来评估一个临床与转化科学奖(CTSA)项目中心,并研究自2017年我们的试点研究以来研究生产力、引文影响力、研究合作以及CTSA支持的研究主题的变化。

方法

抽样数据包括北卡罗来纳转化与临床科学研究所(NC TraCS)在2008年9月至2021年3月期间支持发表的出版物。我们将文献计量学、SNA和替代计量学的方法和指标应用于该数据集。此外,我们分析了研究主题以及不同指标之间的相关性。

结果

截至2021年4月,1154篇由NC TraCS支持的出版物产生了超过53560次引用。这些出版物的年均引用次数和相对引用率(RCR)均值从2017年的33次和2.26提高到了2021年的48次和2.58。在发表最多的作者合作网络中,涉及的北卡罗来纳大学单位数量从2017年的7个增加到了2021年的10个。NC TraCS支持的共同作者涉及61个北卡罗来纳州的组织。PlumX指标确定了替代计量学得分最高的文章。约96%由NC TraCS支持的出版物高于平均的Scival主题突出百分位数;所纳入出版物的平均近似转化潜力为54.2%;177篇出版物涉及健康差距问题。文献计量学指标(如引用次数、RCR)和PlumX指标(即引用、捕获和社交媒体)呈正相关(<0.05)。

结论

文献计量学、SNA和替代计量学为审视CTSA研究绩效和纵向发展提供了独特但相关的视角,尤其是在单个项目中心层面。这些视角有助于CTSA确定项目重点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09ea/9947612/603d49fcdff6/S2059866122005301_fig1.jpg

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