COVID-19 and ophthalmology: A scientometric analysis

Gagan Kalra · Rishemjit Kaur · Parul Ichhpujani · Rutvi Chahal · Suresh Kumar

24 citations0/0 files storedIndian Journal of Ophthalmology

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scientometrics and bibliometrics research Academic Publishing and Open Access Retinal and Optic Conditions

Abstract

PURPOSE: Coronavirus disease pandemic has impacted global healthcare tremendously and ophthalmology is one of the high-hit specialties. An increasing number of research items are upcoming with COVID-19-related research in ophthalmology and this report aims at performing a scientometric analysis of all the available research pertaining to COVID-19 and ophthalmology. METHODS: A Web of Science (https://webofknowledge.com) query TS = ("novel coronavirus 2019" OR "coronavirus 2019" OR "COVID 2019" OR "COVID 19" OR "nCOV" OR "SARS-CoV-2" OR "COVID-19") AND WC = ("Ophthalmology") was deployed on February 22, 2021, to retrieve all research items on the topics of interest. R software (v4.0.1) with Bibliometrix library was deployed to visualize metrics to quantify geographical distribution, source metrics, author metrics, document metrics, and keyword metrics. RESULTS: A total of 616 research items appeared in our search results that were drafted by 2398 authors and published in 63 sources. India, USA, UK, and China had the greatest number of research items among others. Indian Journal of Ophthalmology, Eye, and Graefe's Archive for Clinical and Experimental Ophthalmology were sources with greatest number of research items. Documents per author were 0.257 and authors per document were 3.89. The collaboration index was noted to be 4.28. CONCLUSION: Our scientometric analysis presents descriptive quantitative metrics for COVID-related research in the field of ophthalmology and provides evidence for the increased global collaboration that global researchers have fostered to fight this pandemic.

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References

2020A Bibliometric Analysis of COVID-19 Research Activity: A Call for Increased Output 2020Elderly people and responses to COVID-19 in 27 Countries 2020Coronavirus Disease (COVID-19): A Machine Learning Bibliometric Analysis 2020Ophthalmologists Are More Than Eye Doctors—In Memoriam Li Wenliang 2016Use of H-Index and Other Bibliometric Indicators to Evaluate Research Productivity Outcome on Swine Diseases

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