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An Overview of Altmetrics Research: A Typology Approach

  • Han ZhengEmail author
  • Xiaoyu Chen
  • Xu Duan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11853)

Abstract

Altmetrics, novel metrics based on social media, have received much attention from scholars in recent years. As an emerging research area in information science, it is essential to understand the overview of altmetrics research. We extracted 731 altmetrics-related articles from the Scopus databases and adopted a text mining method (i.e., topic modeling) to develop a typology of altmetrics research. Six major themes were identified in our analysis, including altmetrics research in general, bibliometric and altmetrics, measuring research impact, metrics application, social media use, and performance evaluation. We interpreted the meaning of the six themes and their associations with altmetrics research. This paper is a first step in mapping the landscape of altmetrics research through uncovering the core topics discussed by scholars. Limitations and future work are also discussed.

Keywords

Altmetrics research Typology Topic modeling Text mining 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Wee Kim Wee School of Communication and InformationNanyang Technological UniversitySingaporeSingapore

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