ArticleEye (London, England)2024
Utilizing a composite citation index for evaluating clinical ophthalmology research: insights into gender, nationality, and self-citation among top ophthalmology researchers.
Article in Eye (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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6 authors.
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Abstract
objectivesTo compare the performance of a composite citation score (c-score) and its six constituent citation indices, including H-index, in predicting winners of the Weisenfeld Award in ophthalmologic research. Secondary objectives were to explore career and demographic characteristics of the most highly cited researchers in ophthalmology.
methodsA publicly available database was accessed to compile a set of top researchers in the field of clinical ophthalmology and optometry based on Scopus data from 1996 to 2021. Each citation index was used to construct a multivariable model adjusted for author demographic characteristics. Using area under the receiver operating curve (AUC) analysis, each index's model was evaluated for its ability to predict winners of the Weisenfeld Award in Ophthalmology, a research distinction presented by the Association for Research in Vision and Ophthalmology (ARVO). Secondary analyses investigated authors' self-citation rates, career length, gender, and country affiliation over time.
resultsApproximately one thousand unique authors publishing primarily in clinical ophthalmology/optometry were analyzed. The c-score outperformed all other citation indices at predicting Weisenfeld Awardees, with an AUC of 0.99 (95% CI: 0.97-1.0). The H-index had an AUC of 0.89 (95% CI: 0.83-0.96). Authors with higher c-scores tended to have longer career lengths and similar self-citation rates compared to other authors. Sixteen percent of authors in the database were identified as female, and 64% were affiliated with the United States of America.
conclusionThe c-score is an effective metric for assessing research impact in ophthalmology, as seen through its ability to predict Weisenfeld Awardees.
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