Publication Speed Across Neurosurgery Journals: A Bibliometric Analysis

Abstract

OBJECTIVE: Many factors influence an author\u27s choice for journal submission, including journal impact factor and publication speed. These and other bibliometric data points have not been assessed in journals dedicated to neurosurgery. METHODS: Eight leading neurosurgery journals were analyzed to identify original articles and reviews, collected via randomized, stratified sampling per published issue per year from 2016 to 2020. Bibliometric data on publication speed were gathered for each article. Journal impact factor, article processing fees, and open access availability were determined using Clarivate Journal Citation Reports. Correlation analysis and a linear regression model were used to estimate the effect of impact factor and publication year on publication speed. RESULTS: Across the 8 neurosurgery journals, 1617 published articles were reviewed. The mean (standard deviation) time from submission to acceptance (SA) was 131 (101) days, from acceptance to online publication was 77 (61) days, and from submission to online publication was 207 (123) days. Higher impact factors correlated with longer publication times for all metrics. Later years of publication correlated with longer times from SA and submission to online publication. For each point increase in a journal\u27s impact factor, multivariate regression modeling estimated a 19.2-day increase in time from SA, a 19.7-day increase in time from acceptance to online publication, and a 38.9-day increase in time from submission to online publication (P \u3c 0.001 for all). CONCLUSIONS: Publication speeds vary widely among neurosurgery journals and appear to be associated with the journal impact factor. Time to publication increased over the study period