Analysis of the diffusion of articles on Twitter -A case study in the COVID-19 related article--Reference-Cited by-同舟云学术

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Analysis of the diffusion of articles on Twitter -A case study in the COVID-19 related article-

Published:2023-09-30 Issue:3 Volume:33 Page:298-307
ISSN:0917-1436
Container-title:Joho Chishiki Gakkaishi
language:en
Short-container-title:Journal of Japan Society of Information and Knowledge

Author:

OMORI Yuki¹,ITSUMURA Hiroshi²,SATO Sho³,YOSHIDA Mitsuo⁴

Affiliation:

1. Master’s Program in Informatics，University of Tsukuba

2. Graduate School of Library，Information and Media Science，University of Tsukuba

3. Center for Licence and Qualification，Doshisha University

4. Faculty of Business Sciences，University of Tsukuba

Publisher

Japan Society of Information and Knowledge

Subject

General Medicine

Link

https://www.jstage.jst.go.jp/article/jsik/33/3/33_2023_028/_pdf

Reference20 articles.

1. [1] Ian ROWLANDS: “Social media use i n the research workflow”，Learned Publishi ng，Vol.24，No.3，pp.183-195，2011.

2. [2] Richard Van Noorden: “Online collabo ration: Scientists and the social network”，Nature，Vol.512，pp.126-129，2014.

3. [3] Holly M et al: “An Introduction to So cial Media for Scientists”，PLOS BIOLOG Y，2013.

4. [4] JIA YOU: “The top 50 science stars o f Twitter”，Science，https://www.science.org/content/article/top-50-science-stars-twitter (accessed 2023-03-20).

5. [5] Jason Priem et al.: “altmetrics: a mani festo”，http://altmetrics.org/manifesto/ (acces sed 2023-03-20).

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