Skip to main content

An Investigation of the Quality of Altmetric Data with Altmetric.com and PlumX as Examples

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)

PDF Author's Accepted Manuscript
Language: English


Download (434kB) Preview
[thumbnail of conference paper 0406revised.pdf]
Preview
This file may not be suitable for users of assistive technology.
Request an accessible format
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)
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)
Liu, Wenbin: https://orcid.org/0000-0001-5966-6235
Wu, Shaomin: https://orcid.org/0000-0001-9786-3213
  • Depositors only (login required):

Downloads

Downloads per month over past year