Phan Q Duy1, Manish D Paranjpe2, Prince Antwi3, Nicholas S Diab4, Jason K Wang5, David Nam-Woo Kim4, Alexander M Moushey4, Wyatt B David4, Kush Kapadia6, Ank A Agarwal6, Jinny Huang7, Amar H Sheth4, Kedous Mekbib4, H Alexander Chen4, Serban Negoita8, Fuchen Liu4, Yutaka Takeo4, Ishan Paranjpe9, Sayan Manna9, Sumarth K Mehta4, Jason L Gerrard4. 1. Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA; Medical Scientist Training Program, Yale University School of Medicine, New Haven, Connecticut, USA. Electronic address: duy.phan@yale.edu. 2. Harvard-MIT Program in Health Sciences and Technology, Harvard Medical School, Boston, Massachusetts, USA; Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts, USA. 3. Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA. 4. Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA. 5. Harvard-MIT Program in Health Sciences and Technology, Harvard Medical School, Boston, Massachusetts, USA. 6. Krieger School of Arts & Sciences, Johns Hopkins University, Baltimore, Maryland, USA. 7. Krieger School of Arts & Sciences, Johns Hopkins University, Baltimore, Maryland, USA; Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. 8. Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland, USA. 9. Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
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.
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.
Authors: Gary Y Yang; Mary F Schoenwetter; Timothy D Wagner; Kathleen A Donohue; Michael R Kuettel Journal: J Am Coll Radiol Date: 2006-04 Impact factor: 5.532
Authors: Eric D Katz; Lee Shockley; Lawrence Kass; David Howes; Janis P Tupesis; Christopher Weaver; Osman R Sayan; Victoria Hogan; Jason Begue; Diamond Vrocher; Jackie Frazer; Timothy Evans; Gene Hern; Ralph Riviello; Antonio Rivera; Keith Kinoshita; Edward Ferguson Journal: BMC Med Educ Date: 2005-08-16 Impact factor: 2.463