1. Preresidency Publication Productivity of U.S. Neurosurgery Interns
- Author
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Alexander Moushey, Serban Negoita, Kedous Mekbib, Sumarth K. Mehta, Ank A. Agarwal, Jason L. Gerrard, Ishan Paranjpe, Nicholas S. Diab, Prince Antwi, Amar H. Sheth, Phan Q. Duy, Fuchen Liu, Jinny Huang, David Nam-Woo Kim, H. Alexander Chen, Sayan Manna, Yutaka Takeo, Manish D. Paranjpe, Jason K Wang, Kush Kapadia, and Wyatt B. David
- Subjects
medicine.medical_specialty ,Impact factor ,business.industry ,education ,Publications ,Neurosurgery ,Internship and Residency ,Efficiency ,United States ,Article ,03 medical and health sciences ,0302 clinical medicine ,030220 oncology & carcinogenesis ,Family medicine ,medicine ,Humans ,Surgery ,Neurology (clinical) ,business ,Productivity ,030217 neurology & neurosurgery - Abstract
Background Research experience is believed to be an important component of the neurosurgery residency application process. One measure of research productivity is publication volume. The preresidency publication volume of U.S. neurosurgery interns and any potential association between applicant publication volume and the match results of top-ranked residency programs have not been well characterized. Objective In this study, we sought to characterize the preresidency publication volume of U.S. neurosurgery residents in the 2018–2019 intern class using the Scopus database. Methods For each intern, we recorded the total number of publications, total number of first or last author publications, total number of neuroscience-related publications, mean number of citations per publication, and mean impact factor of the journal per publication. Preresidency publication volumes of interns at the top-25 programs (based on a composite ranking score according to 4 different ranking metrics) were compared with those at all other programs. Results We found that 82% of neurosurgery interns included in the analysis (190 interns from 95 programs) had at least 1 publication. The average number of publications per intern among all programs was 6 ± 0.63 (mean ± standard error of the mean). We also found that interns at top-25 neurosurgery residency programs tended to have a higher number of publications (8.3 ± 1.2 vs. 4.8 ± 0.7, P = 0.0137), number of neuroscience-related publications (6.8 ± 1.1 vs. 4.1 ± 0.7, P = 0.0419), and mean number of citations per publication (9.8 ± 1.7 vs. 5.7 ± 0.8, P = 0.0267) compared with interns at all other programs. Conclusions Our results provide a general estimate of the preresidency publication volume of U.S. neurosurgery interns and suggest a potential association between publication volume and matching in the top-25 neurosurgery residency programs.
- Published
- 2020