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Collaborative patterns, authorship practices and scientific success in biomedical research: a network analysis

机译:生物医学研究中的合作模式,作者行为和科学成功:网络分析

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Summary Objective To investigate the relationship between biomedical researchers' collaborative and authorship practices and scientific success. Design Longitudinal quantitative analysis of individual researchers' careers over a nine-year period. Setting A leading biomedical research institution in the United Kingdom. Participants Five hundred and twenty-five biomedical researchers who were in employment on 31 December 2009. Main outcome measures We constructed the co-authorship network in which nodes are the researchers, and links are established between any two researchers if they co-authored one or more articles. For each researcher, we recorded the position held in the co-authorship network and in the bylines of all articles published in each three-year interval and calculated the number of citations these articles accrued until January 2013. We estimated maximum likelihood negative binomial panel regression models. Results Our analysis suggests that collaboration sustained success, yet excessive co-authorship did not. Last positions in non-alphabetised bylines were beneficial for higher academic ranks but not for junior ones. A professor could witness a 20.57% increase in the expected citation count if last-listed non-alphabetically in one additional publication; yet, a lecturer suffered from a 13.04% reduction. First positions in alphabetised bylines were positively associated with performance for junior academics only. A lecturer could experience a 8.78% increase in the expected citation count if first-listed alphabetically in one additional publication. While junior researchers amplified success when brokering among otherwise disconnected collaborators, senior researchers prospered from socially cohesive networks, rich in third-party relationships. Conclusions These results help biomedical scientists shape successful careers and research institutions develop effective assessment and recruitment policies that will ultimately sustain the quality of biomedical research and patient care.
机译:摘要目的探讨生物医学研究人员的合作和作者行为与科学成功之间的关系。对个人研究人员在九年内的职业进行的设计纵向定量分析。在英国设立领先的生物医学研究机构。参与者2009年12月31日,有525名生物医学研究人员在职。主要成果衡量指标我们构建了以研究者为节点的共同作者网络,如果两个研究人员是其中之一,则在他们之间建立联系。更多文章。对于每位研究人员,我们记录了在共同作者网络中的位置以及在每三年间隔内发表的所有文章的旁注,并计算了这些文章在2013年1月之前的被引用次数。我们估算了最大似然负二项式面板回归楷模。结果我们的分析表明,协作能够持续取得成功,而过多的合著却没有。非字母排序的副词中的最后一个职位对较高的学术职位有利,但对初中职位则无济于事。如果一位教授在另一本出版物中以非字母顺序列出为最后一位,则其教授的预期引用次数可能会增加20.57%。然而,一名讲师的教学量却减少了13.04%。按字母顺序排列的署名中的第一位仅与初学者的表现成正相关。如果在其他出版物中按字母顺序列出第一位,则讲师的预期引用计数可能会增加8.78%。初级研究人员在彼此分离的协作者之间进行中间人交流时获得了成功,而高级研究人员则从社交网络中繁荣起来,这些网络具有丰富的第三方关系。结论这些结果有助于生物医学科学家塑造成功的职业生涯,研究机构制定有效的评估和招聘政策,最终将维持生物医学研究和患者护理的质量。

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