图书馆杂志

图书馆杂志 ›› 2021, Vol. 40 ›› Issue (11): 14-21.

• 理论探索 • 上一篇    下一篇

Mendeley阅读指标的情境内涵及其应用研究评述

余厚强(中山大学信息管理学院)曹雪婷 (江苏省广播电视总台)   

  • 出版日期:2021-11-15 发布日期:2021-11-29
  • 作者简介:余厚强 中山大学信息管理学院,副教授。研究方 向:数据科学和替代计量、科学交流与科技评价。 作者贡献:提出研究思路,设计研究方案,论文撰 写、修订。E-mail:yuhouq@yeah.net 广东广州 510006 曹雪婷 女,江苏省广播电视总台,研究生。研究方 向:数据科学与替代计量。作者贡献:实施研究思 路,论文撰写。 江苏南京 210094

A Review of Context Information and Application of Mendeley#br# Readership Altmetrics

Yu Houqiang (School of Information Management, Sun Yat-sen University)Cao Xueting (Jiangsu Broadcasting Corporation)   

  • Online:2021-11-15 Published:2021-11-29
  • About author:Yu Houqiang (School of Information Management, Sun Yat-sen University)Cao Xueting (Jiangsu Broadcasting Corporation)

摘要: Mendeley阅读指标是目前最稳健的替代计量指标,具备覆盖率高、及时性好、数值较高等特点,本文旨在为其进一步研究和应用提供参考。通过评述相关文献,着重从情境内涵和应用研究两个主要热点研究方向,深入分析Mendeley阅读指标的研究进展,同时较为系统地归纳其局限性。总结来看,Mendeley阅读指标的来源数据提供了丰富的背景信息,有助于更加全面地理解学术论文的交流过程和影响对象;Mendeley阅读指标的标准化可借鉴引文指标的成熟经验,以消除国家、学科、时间等因素的影响,同时也表现出可根据目标群体进行标准化的特色;Mendeley阅读指标在多种情境下的科技评价、相关文献和学者的智能推荐,以及知识交流与结构的追踪挖掘方面,均取得了较好的应用进展。但是,该指标也存在用户分布不均、数据公开不足等局限,在实际应用中必须充分考虑其优势和不足。

Abstract: Mendeley altmetrics is so far the most robust altmetrics indicator. The context information and application research constitute the two main directions of in-depth study of this indicator. This paper aims to clarify the characteristics of the indicator by reviewing the relevant literature so as to provide reference for further research and application. In summary, source data of Mendeley altmetrics have provided abundant context information, helping better understand the communication process and impact audience of scholarly papers. Mendeley altmetrics could take lesson from the mature experience of normalization of citation indicators, to get rid of the influence of country, discipline and time etc.. Meanwhile, Mendeley altmetrics
is unique in that normalization could be conducted aiming at specific target group. Mendeley altmetrics has been well used in scientific evaluation under various circumstances, intelligent recommendation of related literature and scholars, as well as tracking and mining of knowledge f low and structure. However, the indicator also has limitation in that users are disproportionately distributed and data is not open enough.
In practices both the advantages and limitations should be taken into consideration.