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自引是高产作者的标志,无论性别。

Self-citation is the hallmark of productive authors, of any gender.

机构信息

School of Information Sciences, University of Illinois at Urbana-Champaign, Champaign, IL 61820, United States of America.

Illinois Informatics Institute, University of Illinois at Urbana-Champaign, Urbana, IL 61801, United States of America.

出版信息

PLoS One. 2018 Sep 26;13(9):e0195773. doi: 10.1371/journal.pone.0195773. eCollection 2018.

Abstract

It was recently reported that men self-cite >50% more often than women across a wide variety of disciplines in the bibliographic database JSTOR. Here, we replicate this finding in a sample of 1.6 million papers from Author-ity, a version of PubMed with computationally disambiguated author names. More importantly, we show that the gender effect largely disappears when accounting for prior publication count in a multidimensional statistical model. Gender has the weakest effect on the probability of self-citation among an extensive set of features tested, including byline position, affiliation, ethnicity, collaboration size, time lag, subject-matter novelty, reference/citation counts, publication type, language, and venue. We find that self-citation is the hallmark of productive authors, of any gender, who cite their novel journal publications early and in similar venues, and more often cross citation-barriers such as language and indexing. As a result, papers by authors with short, disrupted, or diverse careers miss out on the initial boost in visibility gained from self-citations. Our data further suggest that this disproportionately affects women because of attrition and not because of disciplinary under-specialization.

摘要

最近有报道称,在 JSTOR 文献数据库的多个学科中,男性自我引用的频率比女性高 50%以上。在这里,我们在 Author-ity 中复制了这一发现,Author-ity 是 PubMed 的一个版本,其中作者的名字经过了计算上的歧义消除。更重要的是,我们表明,当在多维统计模型中考虑到先前的出版数量时,性别效应在很大程度上消失了。在经过广泛测试的特征中,性别对自我引用的概率影响最小,这些特征包括作者署名位置、所属机构、种族、合作规模、时间滞后、主题新颖性、参考文献/引用计数、出版类型、语言和场所。我们发现,自我引用是有生产力的作者的标志,无论性别如何,他们都会尽早在类似的场所引用自己的新期刊出版物,并且更经常跨越语言和索引等引用障碍。因此,职业生涯短暂、中断或多样化的作者的论文可能会错过自我引用带来的最初知名度提升。我们的数据进一步表明,这不成比例地影响女性,原因是流失,而不是学科专业化不足。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e84f/6157831/5601e3a0b936/pone.0195773.g001.jpg

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