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Predictors of Citations for Original Research in Ophthalmology.

Angela S ZhuJohn C LinChaerim KangRiaz QureshiRoberta W SchererPaul B Greenberg
Published in: Seminars in ophthalmology (2023)
There is a dearth of literature on factors associated with citation of publications in ophthalmology. We investigated predictors of citations for original ophthalmologic research articles based on author, study, and journal characteristics. In accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (PRISMA), we extracted articles that studied the leading cause of vision impairment in the United States (cataract, diabetic retinopathy, age-related macular degeneration, and glaucoma) and were published in the top fifteen ophthalmology journals with the highest impact factors that accepted original research. Descriptive statistics, one-way analysis of variance (ANOVA) tests, and negative binomial regression were used to compare citation counts based on author, study, and journal characteristics. In this study, author research productivity, journal impact factor, study funding, and location in high-income countries were predictors of increased citation in ophthalmology.
Keyphrases
  • systematic review
  • diabetic retinopathy
  • meta analyses
  • artificial intelligence
  • machine learning
  • cross sectional
  • high resolution
  • climate change
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