A parametric 'parent metric' approach for comparing maximum-normalized journal ranking metrics
| Autor: | M. Kevin McGee, M. Ryan Haley |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Information Systems and Management
Computer Networks and Communications InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL 05 social sciences Magnitude (mathematics) Library and Information Sciences 050905 science studies Computer Science::Digital Libraries Journal ranking Simple (abstract algebra) Metric (mathematics) Statistics 0509 other social sciences 050904 information & library sciences Information Systems Mathematics Parametric statistics |
| Zdroj: | Journal of the Association for Information Science and Technology. 69:172-176 |
| ISSN: | 2330-1635 |
| DOI: | 10.1002/asi.23908 |
| Popis: | This article proposes a parametric approach for facilitating inter-metric and inter-field comparisons of citation-based journal ranking metrics. The mechanism is simple to apply and adjusts for metric magnitude differentials and distributional asymmetries in the rank-score curves. The method is demonstrated using h-index, AWCR-index, g-index, and e-index data from journals in Accounting, Economics, and Finance. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Plný text