Copy the page URI to the clipboard
Pride, David; Cancellieri, Matteo and Knoth, Petr
(2022).
DOI: https://doi.org/10.1007/978-3-031-16802-4_20
Abstract
This study examines the differences in production and consumption of Open Access (OA) literature across institutional prestige variables and examines who is gaining the most benefit from the adoption of current OA publishing practices. In this approach we define production as the publication of OA literature (as a proportion of all research literature produced) by an entity (author, institution, country, continent). We define consumption as evidence of using OA literature as measured by citations to OA literature. Using data points for over 24,000 institutions we examine the role of institutional prestige in the Open Access landscape. Overall, we find medium to strong correlations between OA production and OA consumption. We find that higher ranked institutes are both greater producers and consumers of Open Access literature. Importantly, we find a stronger correlation for higher ranked institutions compared to lower ranked ones when using ranking data from the Times Higher Education (THE) World University Rankings. This indicates that it is the higher ranked and more prosperous institutes that are best placed to benefit from current Open Science and Open Access publishing structures.
Viewing alternatives
Download history
Metrics
Public Attention
Altmetrics from AltmetricNumber of Citations
Citations from DimensionsItem Actions
Export
About
- Item ORO ID
- 84711
- Item Type
- Conference or Workshop Item
- ISBN
- 3-031-16802-X, 978-3-031-16802-4
- Project Funding Details
-
Funded Project Name Project ID Funding Body Observing and Negating Matthew Effects in Re- sponsible Research and Innovation Transition (ON-MERRIT) Not Set H2020 - Keywords
- Open Access; Open Science; Matthew Effect; Cumulative Advantage
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Research Group
- Big Scientific Data and Text Analytics Group (BSDTAG)
- Copyright Holders
- © 2022 Springer Nature Switzerland AG
- Related URLs
- Depositing User
- David Pride