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Is collaboration among scientists related to the citation impact of papers because their quality increases with collaboration? An analysis based on data from F1000Prime and normalized citation scores

机译:科学家之间的合作是否与引文的影响有关   论文因为合作后质量提高了吗?基于分析   来自F1000prime的数据和标准化的引文分数

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摘要

In recent years, the relationship of collaboration among scientists and thecitation impact of papers have been frequently investigated. Most of thestudies show that the two variables are closely related: an increasingcollaboration activity (measured in terms of number of authors, number ofaffiliations, and number of countries) is associated with an increased citationimpact. However, it is not clear whether the increased citation impact is basedon the higher quality of papers which profit from more than one scientistgiving expert input or other (citation-specific) factors. Thus, the currentstudy addresses this question by using two comprehensive datasets withpublications (in the biomedical area) including quality assessments by experts(F1000Prime member scores) and citation data for the publications. The study isbased on nearly 10,000 papers. Robust regression models are used to investigatethe relationship between number of authors, number of affiliations, and numberof countries, respectively, and citation impact - controlling for the papers'quality (measured by F1000Prime expert ratings). The results point out that theeffect of collaboration activities on impact is largely independent of thepapers' quality. The citation advantage is apparently not quality-related;citation specific factors (e.g. self-citations) seem to be important here.
机译:近年来,科学家之间的合作关系与论文的引文影响之间的关系已得到广泛研究。大多数研究表明,这两个变量密切相关:协作活动的增加(以作者数量,隶属关系的数量和国家的数量来衡量)与引用影响的增加有关。但是,尚不清楚增加的引文影响是否基于高质量的论文,而高质量的论文得益于多名科学家提供的专家意见或其他(特定于引文的)因素。因此,本研究通过使用两个具有出版物(在生物医学领域)的综合数据集解决了这个问题,包括专家的质量评估(F1000Prime会员评分)和出版物的引用数据。该研究基于近10,000篇论文。稳健的回归模型分别用于研究作者数量,隶属关系数量和国家/地区之间的关系,以及引文影响-控制论文的质量(由F1000Prime专家评分衡量)。结果指出,协作活动对影响的影响在很大程度上与论文的质量无关。引文优势显然与质量无关;引文特定因素(例如自我引文)在这里似乎很重要。

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    Bornmann, Lutz;

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  • 年度 2016
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