Alternative bibliometrics from impact factor improved the esteem of a journal in a 2-year-ahead annual-citation calculation: multivariate analysis of gastroenterology and hepatology journals.
Eur J Gastroenterol Hepatol 2015;
27:115-22. [PMID:
25533428 DOI:
10.1097/meg.0000000000000253]
[Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
INTRODUCTION
A deeper understanding of supplementary bibliometrics beyond the impact factor might provide researchers with a better understanding of the citation process. This study presents a multivariate analysis of gastroenterology and hepatology journals to evaluate the predictive ability of seven bibliometrics in the Web of Science to calculate total cites over a 2-year period.
METHODS
Coincidentally, bibliometrics appearing during 2008, 2009, and 2010, with their corresponding cites in 2010, 2011, and 2012, were recorded from the Journal Citation Reports Science Edition. A linear mixed-effects design using random slopes and intercepts was performed on 51 out of 74 journals in the Gastroenterology and Hepatology category.
RESULT
There was a significant global effect size (R(2) = 0.992; P < 0.001), which yielded a total variance of 99.2%. The strongest predictors in the model were the Eigenfactor Score and Cited Half-life (P < 0.001), followed by the Number of Articles (P = 0.011) and the Immediacy Index (P = 0.021). The impact factor was not a significant predictor.
CONCLUSION
The Eigenfactor Score and Cited Half-life predictors might be the new standards to assess the influence and importance of scientific journals; this approach may help researchers select journals in which to publish their work.
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