Abstract
This paper investigates the Twitter interaction patterns of journals from the Science Citation Index (SCI) of Master Journal List (MJL). A total of 953,253 tweets extracted from 857 journal accounts, were analyzed in this study. Findings indicate that SCI journals interacted more with each other but much less with journals from other citation indices. The network structure of the communication graph resembled a tight crowd network, with Nature journals playing a major part. Information sources such as news portals and scientific organizations were mentioned more in tweets, than academic journal Twitter accounts. Journals with high journal impact factors (JIFs) were found to be prominent hubs in the communication graph. Differences were found between the Twitter usage of SCI journals with Humanities and Social Sciences (HSS) journals.
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Notes
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Higher resolution image can be viewed at this link https://bit.ly/2KPo8EH.
- 2.
The topics were identified based on the profile description in the Twitter accounts.
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Acknowledgements
The research project “Altmetrics: Rethinking And Exploring New Ways Of Measuring Research” is supported by the National Research Foundation, Prime Minister’s Office, Singapore under its Science of Research, Innovation and Enterprise programme (SRIE Award No. NRF2014-NRF-SRIE001-019).
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Sesagiri Raamkumar, A., Erdt, M., Vijayakumar, H., Nagarajan, A., Theng, YL. (2019). Understanding the Twitter Usage of Science Citation Index (SCI) Journals. In: Jatowt, A., Maeda, A., Syn, S. (eds) Digital Libraries at the Crossroads of Digital Information for the Future. ICADL 2019. Lecture Notes in Computer Science(), vol 11853. Springer, Cham. https://doi.org/10.1007/978-3-030-34058-2_6
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