使用修改的Pavlo图可视化学术后代:基于生物力学和生物医学五位研究人员的结果

IF 4.1 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
W. Lievers
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引用次数: 0

摘要

可视化高产研究者的学术后代是一个具有挑战性的问题。为此,本文提出了一种改进的Pavlo算法,并以人工收集的5位生物力学和生物医学研究人员的学术家谱为基础,论证了该算法的实用性。研究人员每人有15-32个孩子,总共有93到384个后代。改进后的算法生成的图比原来的图小97%以上。还计算了指导指标;它们的hm-指数在5-7之间,gm-指数在7-13之间。在五个家族的1096名独特的研究人员中,153名(14%)在2021年底之前从自己的博士研究生毕业。导师从自己毕业到培养第一个博士生平均需要9.6年的时间,这意味着这个领域的学术一代大约需要10年。人工收集的数据集还与学术网站上的众包学术家谱数据进行了比较。后者只包括45%的人和34%的连接,因此在使用它进行需要完整性的分析时必须考虑到这个限制。数据集和算法的实现可用于重用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visualizing academic descendants using modified Pavlo diagrams: Results based on five researchers in biomechanics and biomedicine
Abstract Visualizing the academic descendants of prolific researchers is a challenging problem. To this end, a modified Pavlo algorithm is presented and its utility is demonstrated based on manually collected academic genealogies of five researchers in biomechanics and biomedicine. The researchers have 15–32 children each and between 93 and 384 total descendants. The graphs generated by the modified algorithm were over 97% smaller than the original. Mentorship metrics were also calculated; their hm-indices are 5–7 and the gm-indices are in the range 7–13. Of the 1,096 unique researchers across the five family trees, 153 (14%) had graduated their own PhD students by the end of 2021. It took an average of 9.6 years after their own graduation for an advisor to graduate their first PhD student, which suggests that an academic generation in this field is approximately one decade. The manually collected data sets used were also compared against the crowd-sourced academic genealogy data from the AcademicTree.org website. The latter included only 45% of the people and 34% of the connections, so this limitation must be considered when using it for analyses where completeness is required. The data sets and an implementation of the algorithm are available for reuse.
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来源期刊
Quantitative Science Studies
Quantitative Science Studies INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
12.10
自引率
12.50%
发文量
46
审稿时长
22 weeks
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