Comparative analysis between impact factor and h-index for pharmacology and psychiatry journals
Autor: | Thierry Lafouge, Pascal Bador |
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Přispěvatelé: | Bador, Pascal, Equipe de recherche de Lyon en sciences de l'information et de la communication (ELICO), Sciences Po Lyon - Institut d'études politiques de Lyon (IEP Lyon), Université de Lyon-Université de Lyon-École nationale supérieure des sciences de l'information et des bibliothèques (ENSSIB), Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université Jean Moulin - Lyon 3 (UJML), Université de Lyon-Université Lumière - Lyon 2 (UL2), Université Lumière - Lyon 2 (UL2)-École nationale supérieure des sciences de l'information et des bibliothèques (ENSSIB), Université de Lyon-Université de Lyon-Sciences Po Lyon - Institut d'études politiques de Lyon (IEP Lyon), Université de Lyon |
Jazyk: | angličtina |
Rok vydání: | 2010 |
Předmět: |
Isi web of science
medicine.medical_specialty [SHS.INFO]Humanities and Social Sciences/Library and information sciences General Social Sciences Journal ranking Library and Information Sciences Pharmacology [SHS.INFO] Humanities and Social Sciences/Library and information sciences Computer Science Applications Linearity test medicine Hirsch index Sensitivity (control systems) Journal Impact Factor Psychiatry Mathematics |
Zdroj: | HAL Scientometrics Scientometrics, Springer Verlag, 2010, 84 (1), pp.65-79 Scientometrics, 2010, 84 (1), pp.65-79 |
ISSN: | 0138-9130 1588-2861 |
Popis: | Using strictly the same parameters (identical two publication years (2004–2005) and identical one-year citation window (2006)), IF 2006 was compared with h-index 2006 for two samples of “Pharmacology and Pharmacy” and “Psychiatry” journals computed from the ISI Web of Science. For the two samples, the IF and the h-index rankings of the journals are very different. The correlation coefficient between the IF and the h-index is high for Psychiatry but lower for Pharmacology. The linearity test performed between the h-index and \( \,IF^{{{\frac{\alpha }{\alpha \, + 1}}}} .\,n\,^{{{\frac{1}{\alpha \, + 1}}}} \) showed the great sensitivity of the model compared with α. The IF and h-index can be completely complementary when evaluating journals of the same scientific discipline. |
Databáze: | OpenAIRE |
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