Scientometric analysis and mapping of 20 years of glaucoma research

Ramin, Shahrokh; Pakravan, Mohammad; Habibi, Gholamreza; Ghazavi, Roghayeh

doi:10.18240/ijo.2016.09.17

Cited by 10 publications

(15 citation statements)

References 20 publications

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“…[ 4 ] Disease specific scientometric analysis has also been performed for age-related macular degeneration and glaucoma. [ 5 6 7 ] To the best of our knowledge, this is the first paper describing scientometric data from the IJO and will help readers and the editorial board get a better perspective of the direction in which the journal is headed in the future. The limitation of the study is that only the data available on PubMed was considered for the study for ease of export and availability of streamlined data points.…”

Section: Discussionmentioning

confidence: 99%

“…[ 2 3 ] Ophthalmic literature has also been subjected to scientometrics in the past including for specific journals[ 4 ] as well as specific disease pathologies such as age-related macular degeneration, glaucoma, and diabetic retinopathy. [ 5 6 7 8 ] A previous paper showed a bibliometric analysis of Indian ophthalmic papers published from 2001 to 2006 in the peer-reviewed journals, and assessed the productivity, trends in journal choice, publication types, research funding, and collaborative research from Indian ophthalmology. [ 9 ] However, no study has performed a scientometric analysis of papers published in the IJO till date.…”

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confidence: 99%

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A scientometric analysis of literature published in Indian Journal of Ophthalmology from 2005 to 2017

Ramadoss

Yadalla

2020

Indian J Ophthalmol

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Purpose: To perform an analysis of ophthalmic literature published by the Indian journal of ophthalmology (IJO) between 2005 and 2017 using scientometric techniques. Methods: The bibliographic records of all the literature published in the study period were collected from PubMed and exported as XML into Microsoft access for scientometric analysis. Subspecialty wise distribution across time, type of articles published (original articles, case reports, review articles, editorials, and letter to editor), reference analysis, author productivity analysis and citation analysis were performed as per well-established scientometric methodology. Results: A total of 2,633 papers were published in the IJO during the study period. Articles related to vitreoretinal diseases contributed 23% of all the articles published ( n = 598) followed by corneal diseases ( n = 313, 12%), and cataract ( n = 293, 11%). There were equal numbers of case reports ( n = 894, 34%) and original articles ( n = 862, 33%) though case reports reduced over time. A total of 5490 unique authors from 64 countries published in the IJO with majority authors (63%) from India. Less than 80% of articles published in the IJO were cited ( n = 2051, 78%) by 24,592 articles with retina-related papers contributing 20% of all citations. Original articles had three times more likelihood of being cited compared to case reports. Conclusion: The IJO showed a steady increase in the number of publications from year to year. Papers from the vitreoretinal domain were the commonest and were cited most often. Original articles and case reports contributed equally to the published content though the former were cited much more frequently than the latter.

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Section: Discussionmentioning

confidence: 99%

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confidence: 99%

A scientometric analysis of literature published in Indian Journal of Ophthalmology from 2005 to 2017

Ramadoss

Yadalla

2020

Indian J Ophthalmol

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“…Schargus et al analyzed the articles related to dry eye published in the Institute of Scientific Information database from 1990 to 2016 and summarized the articles cited most frequently [ 17 ]. Ramin et al used Histcite software to analyze glaucoma published in the past 20 years [ 18 ]. Caglar et al analyzed the relevant literature of diabetic retinopathy published in 1980-2014 and summarized the pathogenesis of diabetic retinopathy [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

Research Trends and Hotspot Analysis of Conjunctival Bacteria Based on CiteSpace Software

Wang

Huang

2020

BioMed Research International

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Objective. To sort out the literature related to conjunctival bacteria and summarize research hotspots and trends of this field. Materials and Methods. The relevant literature data from 1900 to 2019 was retrieved from the Web of Science Core Collection database. After manual selection, each document record includes title, author, keywords, abstract, year, organization, and citation. We imported the downloaded data into CiteSpace V (version 5.5R2) to draw the knowledge map and conduct cooperative network analysis, discipline and journal analysis, cluster analysis, and burst keyword analysis. Results. After manual screening, there were 285 relevant papers published in the last 28 years (from 1991 to 2019), and the number is increasing year by year. The publications of conjunctival bacteria were dedicated by 1381 authors of 451 institutions in 56 countries/regions. The United States dominates this field (82 literatures), followed by Germany (23 literatures) and Japan (23 literatures). Overall, most cited papers were published with a focus on molecular biology, genetics, nursing, and toxicology. Most papers fall into the category of ophthalmology, veterinary sciences, and pharmacology and pharmacy. The only organized cluster is the “postantibiotic effect,” and the top 5 keywords with the strongest citation bursts include “postoperative endophthalmiti(s),” “infectious keratoconjunctiviti(s),” “conjunctiviti(s),” “resistance,” and “diversity”. Conclusion. The global field of conjunctival bacteria has expanded in the last 28 years. The United States contributes most. However, there are little cooperation among authors and institutions. Overall, this bibliometric study organized one cluster, “postantibiotic effect”, and identified the top 5 hotspots in conjunctival bacteria research: “postoperative endophthalmiti(s),” “infectious keratoconjunctiviti(s),” “conjunctiviti(s),” “resistance,” and “diversity”. Thus, further research focuses on these topics that may be more helpful to prevent ocular infection and improve prophylaxis strategies to bring a benefit to patients in the near future.

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“…The major scientometric analysis pertaining to glaucoma that we came across had data extracted from the Web of Science (WoS), Institute for Scientific Information (ISI), and mapped 20 years of glaucoma research. 1 In this short scientometric review, we looked at the distribution pattern and subject domain knowledge of worldwide glaucoma research with data extracted from the WoS (Clarivate Analytics) for the past 74 years.…”

Section: Introductionmentioning

confidence: 99%

Evolution of Glaucoma Research: A Scientometric Review

Ichhpujani

Kalra

Kaur

et al. 2020

Journal of Current Glaucoma Practice

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A bstract Ophthalmic literature has been subjected to scientometrics in the past both for specific disease pathologies, such as, age-related macular degeneration, glaucoma, and diabetic retinopathy, and specific journals to add insight to the evolving trends. This short scientometric review looks at the distribution pattern and subject domain knowledge of worldwide glaucoma research with data extracted from Web of Science (WoS, Clarivate Analytics) for the past 74 years. How to cite this article: Ichhpujani P, Kalra G, Kaur R, et al. Evolution of Glaucoma Research: A Scientometric Review. J Curr Glaucoma Pract 2020;14(3):98–105.

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Scientometric analysis and mapping of 20 years of glaucoma research

Abstract: This was the first scientometric report on glaucoma, analyzing the characteristics of papers and the trends in scientific production. A constant increase was observed in the number of papers, while the subject of papers had a shift in the past three years towards genomic research studies.

Cited by 10 publications

References 20 publications

A scientometric analysis of literature published in Indian Journal of Ophthalmology from 2005 to 2017

A scientometric analysis of literature published in Indian Journal of Ophthalmology from 2005 to 2017

Research Trends and Hotspot Analysis of Conjunctival Bacteria Based on CiteSpace Software

Evolution of Glaucoma Research: A Scientometric Review

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