首页> 外文期刊>Journal of the American Society for Information Science and Technology >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
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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论文的引文影响有关,因为论文的质量会随着合作而提高?基于F1000Prime数据和归一化引文得分的分析

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In recent years, the relationship of collaboration among scientists and the citation impact of papers have been frequently investigated. Most of the studies show that the two variables are closely related: An increasing collaboration activity (measured in terms of number of authors, number of affiliations, and number of countries) is associated with an increased citation impact. However, it is not clear whether the increased citation impact is based on the higher quality of papers that profit from more than one scientist giving expert input or other (citation-specific) factors. Thus, the current study addresses this question by using two comprehensive data sets with publications (in the biomedical area) including quality assessments by experts (F1000Prime member scores) and citation data for the publications. The study is based on more than 15,000 papers. Robust regression models are used to investigate the relationship between number of authors, number of affiliations, and number of countries, respectively, and citation impact-controlling for the papers' quality (measured by F1000Prime expert ratings). The results point out that the effect of collaboration activities on impact is largely independent of the papers' 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,隶属关系数量和国家数量来衡量)与引用影响的增加有关。但是,尚不清楚引文影响的增加是否是基于论文质量的提高,而该论文是由多名科学家提供专家意见或其他(特定于引文的)因素而获利的。因此,当前的研究通过在出版物(在生物医学领域)中使用两个全面的数据集来解决这个问题,其中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15,000多篇论文。稳健的回归模型用于研究作者数量,隶属关系数量和国家/地区之间的关系,以及论文质量的引文影响控制(由F1000Prime专家评级衡量)。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。引用优势显然与质量无关;特定于引用的因素(例如,自我引用)在这里似乎很重要。

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