图书情报知识 ›› 2021, Vol. 38 ›› Issue (3): 111-120.doi: 10.13366/j.dik.2021.03.111

• 情报、信息与共享 • 上一篇    下一篇

Altmetrics指标的利益相关者行为研究——以2019年AAS TOP100论文的推文数据为例

刘晓娟,吴鑫梅   

  • 出版日期:2021-05-10 发布日期:2021-07-03

Research on Stakeholders’ Behavior for Altmetrics Indicators: Taking the Tweet Data of the 2019 AAS TOP100 Papers for Example

  • Online:2021-05-10 Published:2021-07-03

摘要: [目的/意义]探究利益相关者行为是否影响Altmetrics指标在科研评价中的应用,为规范Altmetrics指标提供思路。[研究设计/方法] 基于2019年Altmetric Attention Score(简称AAS)排名前100的论文在Twitter中的提及数据,从利益相关者在推动论文传播过程中的推文参与度和参与行为两方面对论文传播的影响开展分析。[结论/发现] 单纯使用提及数作为学术评价指标存在不足。作为利益相关者,论文作者和出版方的推文行为对Altmetrics指标值影响很大,对这些行为及其影响进行识别、剔除或弱化有利于规范Altmetrics指标。[创新/价值]指出Altmetrics数据收集和指标计算过程中应加强利益相关者的行为及其影响程度的识别。

关键词: 替代计量学, 利益相关者, 推文行为, 学术评价, 社交媒体

Abstract: [Purpose/Significance]This paper aims to explore whether the behavior of stakeholders affects the application of Altmetrics indicators in research evaluation, and provide ideas for standardizing Altmetrics indicators.[Design/Methodology]Based on the mentioning data in twitter of the top 100 papers of Altmetric Attention Score (AAS) in 2019, this study analyzed the influence of stakeholders' tweet engagement and participation on the dissemination of paper.[Findings/Conclusion]It has been found that shortcomings exist in using the mentioning times as the only academic evaluation indicator. As being stakeholders, the tweeting behavior of authors and publishers has great impact on the value of Altmetrics indicators. Identifying, eliminating or weakening these behaviors and their impacts could help to standardize the Altmetrics indicators.[Originality/Value]It is pointed out that in the process of data collection and indicator calculation, we should strengthen the identification of stakeholders' behavior and its influencing effects.

Keywords: Altmetrics, Stakeholder, Tweeting behavior, Academic evaluation, Social media