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Credit where credit’s due: accounting for co-authorship in citation counts

机译:归功于应归功的功劳:引用次数中的合著者人数

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摘要

I propose a new method (Pareto weights) to objectively attribute citations to co-authors. Previous methods either profess ignorance about the seniority of co-authors (egalitarian weights) or are based in an ad hoc way on the order of authors (rank weights). Pareto weights are based on the respective citation records of the co-authors. Pareto weights are proportional to the probability of observing the number of citations obtained. Assuming a Pareto distribution, such weights can be computed with a simple, closed-form equation but require a few iterations and data on a scholar, her co-authors, and her co-authors’ co-authors. The use of Pareto weights is illustrated with a group of prominent economists. In this case, Pareto weights are very different from rank weights. Pareto weights are more similar to egalitarian weights but can deviate up to a quarter in either direction (for reasons that are intuitive).
机译:我提出了一种新方法(帕累托权重)来客观地将引用归因于共同作者。先前的方法要么宣称对合著者的资历不了解(平均权重),要么以临时的方式基于作者的顺序(等级权重)。帕累托权重基于合著者各自的引用记录。帕累托权重与观察获得的引用次数的概率成正比。假设具有Pareto分布,则可以使用简单的闭式方程式来计算这些权重,但需要对学者,她的合著者以及她的合著者的合著者进行一些迭代和提供数据。一组著名的经济学家对帕累托权重的使用进行了说明。在这种情况下,帕累托权重与等级权重非常不同。帕累托权重与平均权重更相似,但可以在任一方向上偏差多达四分之一(出于直观的原因)。

著录项

  • 来源
    《Scientometrics》 |2011年第1期|p.291-299|共9页
  • 作者

    Richard S. J. Tol;

  • 作者单位

    Economic and Social Research Institute, Dublin, Ireland;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Citations; Co-authors; Pareto distribution;

    机译:引文;合著者;帕累托分布;

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