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Not All International Collaboration is Beneficial: The Mendeley Readership and Citation Impact of Biochemical Research Collaboration

机译:并非所有的国际合作都是有益的:Mendeley的读者群和生化研究合作的引文影响

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摘要

Biochemistry is a highly funded research area that is typified by large research teams and is important for many areas of the life sciences. This article investigates the citation impact and Mendeley readership impact of biochemistry research from 2011 in the Web of Science according to the type of collaboration involved. Negative binomial regression models are used that incorporate, for the first time, the inclusion of specific countries within a team. The results show that, holding other factors constant, larger teams robustly associate with higher impact research, but including additional departments has no effect and adding extra institutions tends to reduce the impact of research. Although international collaboration is apparently not advantageous in general, collaboration with the United States, and perhaps also with some other countries, seems to increase impact. In contrast, collaborations with some other nations seems to decrease impact, although both findings could be due to factors such as differing national proportions of excellent researchers. As a methodological implication, simpler statistical models would find international collaboration to be generally beneficial and so it is important to take into account specific countries when examining collaboration.
机译:生物化学是一个资金雄厚的研究领域,以大型研究团队为代表,对生命科学的许多领域都很重要。本文根据协作类型调查了2011年以来在Web of Science中对生物化学研究的引文影响和Mendeley读者影响。使用负二项式回归模型,该模型首次将特定国家/地区纳入团队。结果表明,在其他因素不变的情况下,规模较大的团队会与影响力较大的研究牢固地联系在一起,但包括更多部门则没有效果,而增加机构数量往往会减少研究的影响。尽管国际合作总体上看似不利,但与美国以及也许与其他一些国家的合作似乎增加了影响。相比之下,与其他一些国家的合作似乎减少了影响,尽管两个发现都可能是由于诸如优秀研究人员的国家比例不同等因素造成的。作为方法上的含义,较简单的统计模型将发现国际合作通常是有益的,因此在检查合作时必须考虑特定国家。

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    Pardeep Sud; Mike Thelwall;

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    Statistical Cybermetrics Research Group, School of Mathematics and Computer Science, University of Wolverhampton, Wulfruna Street, Wolverhampton WV1 1SB, UK;

    Statistical Cybermetrics Research Group, School of Mathematics and Computer Science, University of Wolverhampton, Wulfruna Street, Wolverhampton WV1 1SB, UK;

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