Mapping the impact of papers on various status groups in excellencemapping.net
A new release of the excellence mapping tool based on citation and reader scores
Bibliographic Data
| ID | 21441747 |
|---|---|
| Authors | Lutz Bornmann (0000-0003-0810-7091, Max Planck Society, corresponding author), Rüdiger Mutz (0000-0003-3345-6090, University of Zurich), Robin Haunschild (0000-0001-7025-7256, Max Planck Institute for Solid State Research), Félix De Moya Anegón (0000-0002-0255-8628, Universidad de Granada), Mirko de Almeida Madeira Clemente, Moritz Stefaner |
| Year | 2021 |
| Volume | 126 |
| Issue | 11 |
| Pages | 9305-9331 |
| Publication date | 2021-11-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Scientometrics (JOURNAL) |
| Journal identifiers | ISSN: 0138-9130 • E-ISSN: 1588-2861 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11192-021-04141-4 |
| OpenAlex | W3206901879 |
| Language | EN |
| Citations received | 1 |
| References cited | 72 |
In over five years, Bornmann, Stefaner, de Moya Anegon, and Mutz (2014b) and Bornmann, Stefaner, de Moya Anegón, and Mutz (2014c, 2015) have published several releases of the www.excellencemapping.net tool revealing (clusters of) excellent institutions worldwide based on citation data. With the new release, a completely revised tool has been published. It is not only based on citation data (bibliometrics), but also Mendeley data (altmetrics). Thus, the institutional impact measurement of the tool has been expanded by focusing on additional status groups besides researchers such as students and librarians. Furthermore, the visualization of the data has been completely updated by improving the operability for the user and including new features such as institutional profile pages. In this paper, we describe the datasets for the current excellencemapping.net tool and the indicators applied. Furthermore, the underlying statistics for the tool and the use of the web application are explained
Altmetrics · Bibliometrics · Citation · Citation analysis · Data mining · Data science · Excellence · MEDLINE · Operability · Political science · Scopus · Visualization · World Wide Web · Academic Publishing and Open Access · Computer Science · Meta-analysis and systematic reviews · scientometrics and bibliometrics research
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| Unique citing works | 1 |
|---|---|
| Citations per year | 0.25 |
| Citation span | 2022 - 2022 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |