Objective: To determine if the quality of otolaryngology-related journal articles correlates with traditional measures of article impact. Methods: All articles published by Laryngoscope in 2011 were categorized according to level of evidence (LOE) according to the Oxford Center for Evidence Based Medicine rubric. Articles without a level of evidence assigned were alphabetically subcategorized type with letters AD corresponding to Contemporary Reports, Case Reports, Basic Science or Animal Studies, and Other respectively. Citations per article were then recorded per article each year from 2012 to 2018. Results: A total of 494 articles were included for analysis, 315 had numerical LOE and 179 had alphabetical LOE. There was a strong negative correlation between numerical LOE and median and interquartile number of citations (R = −.9014, P = .037). Overall, numerical LOE had a significantly higher median number of citations per article compared with the non-number/alphabetical group (14 vs 6, P < .001). Conclusions: Higher quality research as determined by level of evidence is in fact being cited more frequently than lower quality articles. Although the scope of this study was relatively limited, these data suggest that better designed studies may exhibit greater impact by traditional measures. Such findings should serve as an impetus for (and validation of) continued pursuit of high LOE research.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.