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Characterizing scientists leaving science before their time: Evidence from mathematics

机译:在他们的时间之前让科学家表征科学家:来自数学的证据

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摘要

Scientists' leaving scientific work at an age when they should have continued generating more scientific output inevitably leads to limited success in their careers as scientists. However, this phenomenon has received relatively little attention in science of science and scientometrics, relative to how frequently it occurs in academia. Motivated by this gap, this study seeks to identify and characterize scientists who leave the profession before the expected time in science, i.e., scientists whose productivity digresses from the normal pattern at a stage when they should be capable of publishing more papers. We first argue that simply using the termination of publishing as the sign of leaving the profession is inappropriate. Using termination of publishing as the only standard also leads to an underestimation of the overall productivity of certain types of scientists. Thus, we designed a novel measure to evaluate whether a scientist has left science. Utilizing a large-scale bibliographic dataset from Microsoft Academic Graph (MAG) in the field of mathematics, we identified over 10,000 scientists who left before their 20 career year, and paired each of them with a scientist who survived for longer than 25 years. We found that the characteristics in the first five years of the careers of the scientists who left early can be summarized as incompetency in their research abilities and a lack of collaboration with senior or highly cited authors. The implications of the findings are discussed.
机译:科学家们在一个年龄留下科学工作时,他们应该继续产生更多科学的产出,不可避免地导致他们作为科学家的职业生涯有限。然而,这种现象在科学和科学学者科学中得到了相对较少的关注,相对于学术界发生了频率。这项研究旨在识别和表征在科学中预期的预期时间之前离开专业的科学家,即,在舞台上的正常模式中,当他们应该能够出版更多论文时,这是一个科学家。我们首先争辩说,只需使用出版的终止,因为离开专业的标志是不合适的。由于唯一标准的终止出版也会导致低估某些类型科学家的整体生产力。因此,我们设计了一种评估科学家是否留下科学的新颖措施。利用来自Microsoft学术图(Mag)的大型书目数据集在数学领域,我们确定了超过10,000多名科学家,他们在20岁之前离开,并将他们每个人与一个幸存在25年来的科学家。我们发现,早期离开的科学家职业的特征可以总结为他们的研究能力和与高级或高度引用的作者缺乏合作的无能。讨论了调查结果的影响。

著录项

  • 来源
    《Information Processing & Management》 |2021年第5期|102661.1-102661.17|共17页
  • 作者

    Zhenyue Zhao; Yi Bu; Jiang Li;

  • 作者单位

    School of Information Management Nanjing University Nanjing Jiangsu China;

    Department of Information Management Peking University Beijing China;

    School of Information Management Nanjing University Nanjing Jiangsu China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-19 02:25:57

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