The Top 100 Cited Articles on OcularTrauma: A Bibliometric Analysis

Objective: Eye injuries are one of the leading causes of disabling ocular morbidity. The objective of this bibliometric study was to evaluate the top 100 cited articles on ocular trauma published between 1975 and 2018 via multidimensional citation analysis. Methods: We analyzed the top 100 cited articles among 3,768 ocular trauma articles published between 1975 and 2018; these articles were obtained from the databases in Web of Science and PubMed based on their citation rates per article, publication years, countries of origin, institutions or organizations, the most common subjects, funding status, article types, and levels of evidence. The data obtained were analyzed with the SPSS' 20.0 software package program. Results: In the top 100 cited articles on ocular trauma, the total number of authors was 420 and the average authorship was 4.20 +/- 2.23 (range: 1-14). In our study, 70 of the top 100 cited articles were published in journals with an impact factor (IF) of 22.00 (range: 2.016-8.806), and Q index or quartile score of these journals was mostly Q1. Although the most preferred journal was Ophthalmology according to the total number of citations and articles (n=2,183 and n=23, respectively), Eye was the most preferred journal according to the mean number of citations per article. Besides, the three most common topics among the top 100 cited articles were mechanical eyeball injury (40 articles), epidemiology of ocular trauma (19 articles), and traumatic eye infection (17 articles). The average level of evidence was found to be 3.14 +/- 0.66 (range: 1-4), and the mean number of citations per article was the highest level at 2. Moreover, we also found that the most commonly preferred article type by authors was clinical research (92 articles), and most of them were in the B level of evidence group (70 articles). Conclusion: Analysis of the top 100 most cited articles on ocular trauma as an update study can provide us scientific contributions and vital current data in clinical implementations.