The h-Index of Editorial Board Members Correlates Positively With the Impact Factor of Sports Medicine Journals Journal Articles uri icon

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abstract

  • Background: The h-index is a metric widely used to present both the productivity and impact of an author’s previous publications. Purpose: To evaluate and observe any correlations among the h-indices of 2015 editorial board members from 8 top sports medicine journals. Study Design: Systematic review. Methods: The sex, country of residence, degree, and faculty position of the editorial board members were identified using their respective scientific publication profiles. The h-index and other bibliometric indicators of these editorial board members were obtained using both the Web of Science (WoS) and Google Scholar (GS) databases. Nonparametric statistics were used to analyze differences in h-index values, and regression models were used to assess the ability of the editorial board member’s h-index to predict their journal’s impact factor (IF). Results: A total of 422 editorial board members were evaluated. The median h-index of all editors was 20 (interquartile range [IQR], 19) using GS and 15 (IQR, 15) using WoS. GS h-index values were 1.19 times higher than WoS, with significant correlation between these values ( r2 = 0.88, P = .0001). Editorial board members with a PhD had significantly higher h-indices than those without (GS, P = .0007; WoS, P = .0002), and full professors had higher h-indices than associate and assistant professors (GS, P = .0001; WoS, P = .0001). Overall, there were significant differences in the distribution of the GS ( P < .0001) and WoS ( P < .0001) h-indices of the editorial board members by 2014 IF of the journals. Both the GS h-index (β coefficient, 0.01228; 95% CI, 0.01035-0.01423; P < .0001) as well as the WoS h-index (β coefficient, 0.01507; 95% CI, 0.01265-0.01749; P < .0001) of editorial board members were significant predictors of the 2014 IF of their journal. Conclusion: The h-indices of editorial board members of top sports medicine journals are significant predictors of the IF of their respective journals.

publication date

  • March 1, 2017