Research on dynamic evaluation method of individual scientific impact under multiple key nodes

IF 0.7 4区 管理学 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
Shuang Ma
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引用次数: 0

Abstract

Introduction. The purpose of this paper is to research an evaluation method for the development trend of the scientific impact of individual scientists before and after different key nodes in scientific careers. Method. This paper focuses on scientists at universities in Shanghai who obtained their first key programmes from the National Natural Science Foundation of China (NSFC) from 2011 to 2015. A two-node piecewise linear regression is used to divide the scientists’ individual academic trajectories. The Boston Consulting Group matrix (BCG-M) model is used to propose four types of talent. Analysis. The pr(y)-index is applied to evaluate the scientists’ impact. Several characteristics of the trajectory of the impact of individual scientists are defined by the change in the pr(y)-index growth rate. Results. The scientific impact of most scientists (66% and 62%) increased after they first obtained NSFC funding or their first key programme, respectively. The pr(y)-index of a 5-year time window is more sensitive to judge the of influence on scientific career. Conclusion. The two-node piecewise linear regression model successfully divided the academic trajectories of individual scientists into three stages。NSFC funding promotes academic influence. The talents are divided into star talent, focus talent, question talent and taurus talent.
多关键节点下个体科学影响动态评价方法研究
介绍。本文的目的是研究一种评价科学家个人在科学生涯不同关键节点前后的科学影响发展趋势的方法。方法。本文以2011 - 2015年获得国家自然科学基金首个重点项目的上海高校科学家为研究对象。采用双节点分段线性回归对科学家个人的学术轨迹进行划分。波士顿咨询集团矩阵(BCG-M)模型提出了四种类型的人才。分析。采用pr(y)指数来评价科学家的影响力。个别科学家的影响轨迹的几个特征是由pr(y)指数增长率的变化确定的。结果。大多数科学家(66%和62%)在首次获得国家自然科学基金资助或首次获得重点项目后,其科学影响力分别有所增加。用5年时间窗的pr(y)指数来判断对科研生涯的影响更为敏感。结论。双节点分段线性回归模型成功地将科学家个人的学术轨迹划分为三个阶段。国家自然科学基金资助促进学术影响力。人才分为明星人才、焦点人才、问题人才和金牛座人才。
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来源期刊
Information Research-An International Electronic Journal
Information Research-An International Electronic Journal INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
1.20
自引率
12.50%
发文量
62
审稿时长
45 weeks
期刊介绍: Information Research, is an open access, international, peer-reviewed, scholarly journal, dedicated to making accessible the results of research across a wide range of information-related disciplines. It is published by the University of Borås, Sweden, with the financial support of an NOP-HS Scientific Journal Grant. It is edited by Professor T.D. Wilson, and is hosted, and given technical support, by Lund University Libraries, Sweden.
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