Exploring the relationships between altmetric counts and citations of papers in different academic fields based on co-occurrence analysis-Reference-Cited by-同舟云学术

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Exploring the relationships between altmetric counts and citations of papers in different academic fields based on co-occurrence analysis

Published:2022-07-21 Issue:8 Volume:127 Page:4939-4958
ISSN:0138-9130
Container-title:Scientometrics
language:en
Short-container-title:Scientometrics

Author:

Liu Chieh,Huang Mu-Hsuan^ORCID

Funder

Ministry of Education

Ministry of Science and Technology, Taiwan

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Computer Science Applications,General Social Sciences

Link

https://link.springer.com/content/pdf/10.1007/s11192-022-04456-w.pdf

Reference50 articles.

1. Adam, D. (2002). The counting house. Nature, 415(6873), 726–729. https://doi.org/10.1038/415726a

2. Alhoori, H., & Furuta, R. (2014). Do altmetrics follow the crowd or does the crowd follow altmetrics?. In IEEE/ACM Joint Conference on Digital Libraries (pp. 375–378). IEEE. https://doi.org/10.1109/JCDL.2014.6970193.

3. Borgman, C. L., & Furner, J. (2002). Scholarly communication and bibliometrics. Annual Review of Information Science and Technology, 36(1), 2–72.

4. Bornmann, L. (2014). Do altmetrics point to the broader impact of research? An overview of benefits and disadvantages of altmetrics. Journal of Informetrics, 8(4), 895–903.

5. Bornmann, L., Haunschild, R., & Adams, J. (2019). Do altmetrics assess societal impact in a comparable way to case studies? An empirical test of the convergent validity of altmetrics based on data from the UK research excellence framework (REF). Journal of Informetrics, 13(1), 325–340. https://doi.org/10.1016/j.joi.2019.01.008

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