RATIONALE AND OBJECTIVES: Despite rapid adoption of the Hirsch index (h-index) as a measure of academic success, the correlations between the h-index and other metrics of productivity remain poorly understood. The aims of this study were to determine whether h-indices were associated with greater National Institutes of Health (NIH) funding success among academic radiologists. MATERIALS AND METHODS: Using the Scopus database, h-indices were calculated for a random sample of academic radiologists with the rank of professor. Using the NIH tool Research Portfolio Online Reporting Tools Expenditures and Reports, we determined the number, classification, and total years of NIH grant funding as principal investigator for each radiologist. Differences in h-index, sorted by funding status, were determined using Wilcoxon's tests. Associations between h-index and funding status were determined using logistic regression. Significant correlations between h-index and grant metrics were determined using Spearman's ρ. RESULTS: Among 210 professors of radiology, 48 (23%) secured at least one NIH grant. The mean h-index was significantly higher among individuals who secured at least one NIH grant (19.1) compared to those who did not (10.4) (P < .0001). Professors with h-indices < 10 compared to those with h-indices > 10 were significantly less likely to receive NIH funding (odds ratio, 0.07; P = .0321). However, h-indices > 10 were not significantly predictive of greater funding. No significant relationships were observed between h-index and the number of grant awards, years of prior funding, the amounts of grant awards, or grant classification. CONCLUSION: Having obtained at least one NIH grant was associated with a higher h-index, yet multiple or large grants, such as those for program projects, were not predictive of higher h-indices.
RATIONALE AND OBJECTIVES: Despite rapid adoption of the Hirsch index (h-index) as a measure of academic success, the correlations between the h-index and other metrics of productivity remain poorly understood. The aims of this study were to determine whether h-indices were associated with greater National Institutes of Health (NIH) funding success among academic radiologists. MATERIALS AND METHODS: Using the Scopus database, h-indices were calculated for a random sample of academic radiologists with the rank of professor. Using the NIH tool Research Portfolio Online Reporting Tools Expenditures and Reports, we determined the number, classification, and total years of NIH grant funding as principal investigator for each radiologist. Differences in h-index, sorted by funding status, were determined using Wilcoxon's tests. Associations between h-index and funding status were determined using logistic regression. Significant correlations between h-index and grant metrics were determined using Spearman's ρ. RESULTS: Among 210 professors of radiology, 48 (23%) secured at least one NIH grant. The mean h-index was significantly higher among individuals who secured at least one NIH grant (19.1) compared to those who did not (10.4) (P < .0001). Professors with h-indices < 10 compared to those with h-indices > 10 were significantly less likely to receive NIH funding (odds ratio, 0.07; P = .0321). However, h-indices > 10 were not significantly predictive of greater funding. No significant relationships were observed between h-index and the number of grant awards, years of prior funding, the amounts of grant awards, or grant classification. CONCLUSION: Having obtained at least one NIH grant was associated with a higher h-index, yet multiple or large grants, such as those for program projects, were not predictive of higher h-indices.
Authors: Burhan Hassan; Elmer Bernstam; O Joe Hines; Diane M Simeone; Sharon M Weber; David A Geller; B Mark Evers; Funda Meric-Bernstam Journal: J Surg Res Date: 2013-05-28 Impact factor: 2.192
Authors: M Ahmadi; K Khurshid; P C Sanelli; S Jalal; T Chahal; A Norbash; S Nicolaou; M Castillo; F Khosa Journal: AJNR Am J Neuroradiol Date: 2017-11-30 Impact factor: 3.825
Authors: Emma B Holliday; Reshma Jagsi; Lynn D Wilson; Mehee Choi; Charles R Thomas; Clifton D Fuller Journal: Acad Med Date: 2014-05 Impact factor: 6.893