title: 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.
abstract: BACKGROUND
  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.
  
  
  RESULTS
  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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: aCoordination of Research and Innovation, Magnetic Resonance Unit, Medica Sur Clinic and Foundation bDepartment of Neurochemistry, National Institute of Neurology and Neurosurgery, Mexico City, Mexico.
authors.forename: Ernesto
authors.initials: E
authors.lastname: Roldan-Valadez
authors.forename: Camilo
authors.initials: C
authors.lastname: Rios
mesh_terms: D000818:Animals; D015706:Bibliometrics; D005762:Gastroenterology / Q000706:statistics & numerical data*; D006801:Humans; D055811:Journal Impact Factor; D015999:Multivariate Analysis; D010506:Periodicals as Topic / Q000706:statistics & numerical data*