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Revista Cubana de Investigaciones Biomédicas
On-line version ISSN 1561-3011
Abstract
RENZO AQUINO-CANCHARI, Christian; FREDI OSPINA-MEZA, Richard and GUILLEN-MACEDO, Karla. The 100 highest impact pharmacology, toxicology and pharmacy journals. Rev Cubana Invest Bioméd [online]. 2020, vol.39, n.3 Epub Sep 01, 2020. ISSN 1561-3011.
Introduction:
Bibliometric indicators are useful to evaluate the impact of the evidence available.
Objective:
Compare the Impact Factor, the Eigenfactor Score, the SCImago Journal & Country Rank and the Source Normalized Impact per Paper of the highest worldwide impact pharmacology, toxicology and pharmacy journals in their 2018 editions.
Methods:
A retrospective descriptive study was performed of data obtained from bibliometric analysis. An electronic search was conducted at the Scientific Information Institute of journals included in the Journal Citation Report (https://scijournal.org/) to obtain the Impact Factor and the Eigenfactor Score, in the SCImago Journal official web portal to access the SCImago Journal & Country Rank (https://www.scimagojr.com/) and in Journal Indicators (https://www.journalindicators.com/indicators) 2018 edition to obtain the Source Normalized Impact per Paper. Data were quantified with the statistical package STATA v.14.0. An analysis was done of the characteristics of the journals for each indicator, whereas correlation between the variables was estimated with Spearman's test.
Results:
A total 100 journals were examined, all of them indexed in the databases selected. Examination of the indicators studied revealed the following Spearman's correlation coefficients: Impact Factor and Eigenfactor Score = 0,246; Impact Factor and SCImago Journal & Country Rank = 0,758; Impact Factor and Source Normalized Impact per Paper = 0,680; Eigenfactor Score and SCImago Journal & Country Rank = 0,367, Eigenfactor Score and Source Normalized Impact per Paper = 0,264, and SCImago Journal & Country Rank and Source Normalized Impact per Paper = 0,541. They were all statistically significant (p < 0,05).
Conclusions:
A moderate to high and significant correlation was found between Impact Factor, Eigenfactor Score, SCImago Journal & Country Rank and Source Normalized Impact per Paper.
Keywords : journal impact factor; biopharmacy; biochemistry; toxicology; journal paper; Medline.