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Understanding relationship between topic selection and academic performance of scientific teams based on entity popularity trend
Aslib Journal of Information Management ( IF 2.4 ) Pub Date : 2022-08-10 , DOI: 10.1108/ajim-03-2022-0135
Tongyang Zhang , Fang Tan , Chao Yu , Jiexun Wu , Jian Xu

Purpose

Proper topic selection is an essential prerequisite for the success of research. To study this, this article proposes an important concerned factor of topic selection-topic popularity, to examine the relationship between topic selection and team performance.

Design/methodology/approach

The authors adopt extracted entities on the type of gene/protein, which are used as proxies as topics, to keep track of the development of topic popularity. The decision tree model is used to classify the ascending phase and descending phase of entity popularity based on the temporal trend of entity occurrence frequency. Through comparing various dimensions of team performance – academic performance, research funding, relationship between performance and funding and corresponding author's influence at different phases of topic popularity – the relationship between the selected phase of topic popularity and academic performance of research teams can be explored.

Findings

First, topic popularity can impact team performance in the academic productivity and their research work's academic influence. Second, topic popularity can affect the quantity and amount of research funding received by teams. Third, topic popularity can impact the promotion effect of funding on team performance. Fourth, topic popularity can impact the influence of the corresponding author on team performance.

Originality/value

This is a new attempt to conduct team-oriented analysis on the relationship between topic selection and academic performance. Through understanding relationships amongst topic popularity, team performance and research funding, the study would be valuable for researchers and policy makers to conduct reasonable decision making on topic selection.



中文翻译:

基于实体流行趋势理解科研团队选题与学术绩效的关系

目的

正确的选题是研究成功的重要前提。为此,本文提出选题的一个重要关注因素——话题热度,来考察选题与团队绩效之间的关系。

设计/方法论/途径

作者采用提取的基因/蛋白质类型实体作为主题的代理,以跟踪主题流行度的发展。决策树模型用于根据实体出现频率的时间趋势对实体流行度的上升阶段和下降阶段进行分类。通过比较团队绩效的各个维度——学术绩效、研究经费、绩效与资助关系以及通讯作者在不同话题热度阶段的影响力,可以探究所选阶段的话题热度与研究团队学术绩效之间的关系。

发现

首先,话题的受欢迎程度会影响团队的学术生产力和研究工作的学术影响力。其次,话题的受欢迎程度会影响团队获得研究经费的数量和数额。第三,话题热度会影响资金对团队绩效的提升效果。第四,话题流行度会影响通讯作者对团队绩效的影响力。

原创性/价值

这是以团队为导向对选题与学业成绩关系进行分析的新尝试。通过了解主题受欢迎程度、团队绩效和研究经费之间的关系,该研究对于研究人员和政策制定者在主题选择上做出合理的决策具有重要价值。

更新日期:2022-08-10
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