Gong, Tianhui, Liu, Wenbin, Wu, Shaomin (2022) An Investigation of the Quality of Altmetric Data with Altmetric.com and PlumX as Examples. In: BUSTECH 2022, The Twelfth International Conference on Business Intelligence and Technology. . IARIA ISBN 978-1-61208-955-3. (KAR id:94936)
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Official URL: https://www.thinkmind.org/index.php?view=article&a... |
Abstract
Altmetrics, as an open-source tool to present the social impact of publications, has drawn great attention in the scientometrics and informatics fields. The quality of altmetric data is fundamental for applying and analyzing altmetrics in research evaluation, and altmetric data providers are crucial in ensuring data quality. This paper selects the two most commonly used altmetric data providers for an empirical study on analyzing data quality, coverage, consistency and heterogeneity. It proposes suggestions on the use of altmetrics data of the two platforms in the hope of providing a useful reference for other researchers.
Item Type: | Conference or workshop item (Proceeding) |
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Uncontrolled keywords: | data quality; Altmetric.com; PlumX |
Subjects: | H Social Sciences > HA Statistics > HA33 Management Science |
Divisions: | Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems |
Depositing User: | Shaomin Wu |
Date Deposited: | 08 May 2022 21:10 UTC |
Last Modified: | 10 May 2022 16:06 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/94936 (The current URI for this page, for reference purposes) |
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