Shifting data sources in the rankings of universities
This study examines the effects of shifting data sources in the rankings of universities. In particular, universities are ranked according to their levels of average citation counts (ACC) and open access (OA) for publications indexed by each of three different bibliographic sources, namely Web of Sc...
| Main Authors: | , , , , , , |
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| Format: | Conference Paper |
| Language: | English |
| Published: |
2019
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| Online Access: | http://hdl.handle.net/20.500.11937/76999 |
| _version_ | 1848763798292267008 |
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| author | Huang, Karl Neylon, Cameron Montgomery, Lucy Wilson, Katie Hosking, Richard Ozaygen, Alkim Brookes-Kenworthy, Chloe |
| author_facet | Huang, Karl Neylon, Cameron Montgomery, Lucy Wilson, Katie Hosking, Richard Ozaygen, Alkim Brookes-Kenworthy, Chloe |
| author_sort | Huang, Karl |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This study examines the effects of shifting data sources in the rankings of universities. In particular, universities are ranked according to their levels of average citation counts (ACC) and open access (OA) for publications indexed by each of three different bibliographic sources, namely Web of Science (WoS), Scopus and Microsoft Academic (MSA). Metadata on ACC and OA are retrieved from two external databases, i.e., Unpaywall and OpenCitations, to avoid internal biases. The results demonstrate how changing the data source can have significant impact on the perceived performance of individual universities. This work forms part of the Curtin Open Knowledge Initiative (COKI) project, spearheaded by Curtin University. |
| first_indexed | 2025-11-14T11:09:11Z |
| format | Conference Paper |
| id | curtin-20.500.11937-76999 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:09:11Z |
| publishDate | 2019 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-769992020-04-22T01:19:11Z Shifting data sources in the rankings of universities Huang, Karl Neylon, Cameron Montgomery, Lucy Wilson, Katie Hosking, Richard Ozaygen, Alkim Brookes-Kenworthy, Chloe This study examines the effects of shifting data sources in the rankings of universities. In particular, universities are ranked according to their levels of average citation counts (ACC) and open access (OA) for publications indexed by each of three different bibliographic sources, namely Web of Science (WoS), Scopus and Microsoft Academic (MSA). Metadata on ACC and OA are retrieved from two external databases, i.e., Unpaywall and OpenCitations, to avoid internal biases. The results demonstrate how changing the data source can have significant impact on the perceived performance of individual universities. This work forms part of the Curtin Open Knowledge Initiative (COKI) project, spearheaded by Curtin University. 2019 Conference Paper http://hdl.handle.net/20.500.11937/76999 English restricted |
| spellingShingle | Huang, Karl Neylon, Cameron Montgomery, Lucy Wilson, Katie Hosking, Richard Ozaygen, Alkim Brookes-Kenworthy, Chloe Shifting data sources in the rankings of universities |
| title | Shifting data sources in the rankings of universities |
| title_full | Shifting data sources in the rankings of universities |
| title_fullStr | Shifting data sources in the rankings of universities |
| title_full_unstemmed | Shifting data sources in the rankings of universities |
| title_short | Shifting data sources in the rankings of universities |
| title_sort | shifting data sources in the rankings of universities |
| url | http://hdl.handle.net/20.500.11937/76999 |