A scientometric study of Twitter

Ecem Basak*, Levent Atahan, Fethi Calisir

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

The aim of this research is to perform a scientometric analysis and evaluate the publications related to Twitter. The data were collected from the database of Web of Science. "Twitter" was used as the keyword to conduct the search, and all publications were mapped by the following criteria: topic and title. Publications from 2007 to 2015 were taken into account in this study, and a total of 7626 Twitter-related publications were found. The annual number of publications was increased from 5 in 2007 to 1638 in 2014. There were seven main document types in Twitter-related publications, and articles were mostly used among all document types. The United States was found to be the most productive country having publications and English was the most frequently used language among all publications. Moreover, Lecturer Notes in Computer Science was the main distribution channel and computer science, engineering, and communication were the top three most popular research areas.

Original languageEnglish
Pages (from-to)179-184
Number of pages6
JournalProceedings of the International Conference on Industrial Engineering and Operations Management
Volume2018
Issue numberSEP
Publication statusPublished - 2018
Event3rd North American IEOM Conference. IEOM 2018 -
Duration: 27 Sept 201829 Sept 2018

Bibliographical note

Publisher Copyright:
© IEOM Society International.

Keywords

  • Bibliometric studies
  • Publication trends
  • Scientometric
  • Twitter

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