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用 H 指数衡量医疗保健研究人员的学术表现:应该使用哪种搜索工具?

Measuring academic performance for healthcare researchers with the H index: which search tool should be used?

机构信息

Department of Surgery and Cancer, Imperial College London, St. Mary's Hospital, London, UK.

出版信息

Med Princ Pract. 2013;22(2):178-83. doi: 10.1159/000341756. Epub 2012 Sep 6.

Abstract

OBJECTIVES

To compare H index scores for healthcare researchers returned by Google Scholar, Web of Science and Scopus databases, and to assess whether a researcher's age, country of institutional affiliation and physician status influences calculations.

SUBJECTS AND METHODS

One hundred and ninety-five Nobel laureates in Physiology and Medicine from 1901 to 2009 were considered. Year of first and last publications, total publications and citation counts, and the H index for each laureate were calculated from each database. Cronbach's alpha statistics was used to measure the reliability of H index scores between the databases. Laureate characteristic influence on the H index was analysed using linear regression.

RESULTS

There was no concordance between the databases when considering the number of publications and citations count per laureate. The H index was the most reliably calculated bibliometric across the three databases (Cronbach's alpha = 0.900). All databases returned significantly higher H index scores for younger laureates (p < 0.0001). Google Scholar and Web of Science returned significantly higher H index for physician laureates (p = 0.025 and p = 0.029, respectively). Country of institutional affiliation did not influence the H index in any database.

CONCLUSION

The H index appeared to be the most consistently calculated bibliometric between the databases for Nobel laureates in Physiology and Medicine. Researcher-specific characteristics constituted an important component of objective research assessment. The findings of this study call to question the choice of current and future academic performance databases.

摘要

目的

比较谷歌学术、Web of Science 和 Scopus 数据库检索到的医疗研究人员的 H 指数得分,并评估研究人员的年龄、所属机构的国家和医生身份是否会影响计算结果。

方法

共考虑了 1901 年至 2009 年的 195 位诺贝尔生理学或医学奖得主。从每个数据库中计算了每位获奖者的第一篇和最后一篇出版物的年份、总出版物和引用次数,以及 H 指数。Cronbach's alpha 统计量用于衡量数据库之间 H 指数得分的可靠性。使用线性回归分析获奖者特征对 H 指数的影响。

结果

在考虑每位获奖者的出版物数量和引用次数时,数据库之间没有一致性。H 指数是三个数据库中最可靠的计算文献计量学指标(Cronbach's alpha = 0.900)。所有数据库都返回了显著更高的年轻获奖者的 H 指数得分(p < 0.0001)。谷歌学术和 Web of Science 为医生获奖者返回了显著更高的 H 指数(分别为 p = 0.025 和 p = 0.029)。所属机构的国家在任何数据库中都没有影响 H 指数。

结论

H 指数似乎是生理学和医学诺贝尔获奖者数据库之间最一致的计算文献计量学指标。研究人员的特定特征构成了客观研究评估的重要组成部分。本研究的发现对当前和未来学术表现数据库的选择提出了质疑。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6335/5586717/461087c12c39/mpp-0022-0178-g01.jpg

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