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Dry Eye Analysis: A Citation Network Study.

Miguel Angel M A Sanchez-Tena1, Cristina C Alvarez-Peregrina1, Cesar C Villa-Collar1

  • 1School of Biomedical and Health Sciences, Universidad Europea de Madrid, Madrid 20822, Spain.

Journal of Ophthalmology
|September 6, 2019
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Summary
This summary is machine-generated.

Citation network analysis reveals that dry eye research focuses on definition, classification, and treatment. This study visualizes the scientific literature landscape for dry eye disease.

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Area of Science:

  • Ophthalmology
  • Bibliometrics
  • Information Science

Background:

  • Dry eye disease is a prevalent condition affecting 5-50% of the population.
  • Citation network analysis offers a visual method to understand research landscapes.
  • This study applies bibliometric techniques to the field of dry eye research.

Purpose of the Study:

  • To quantify and analyze the relationships within scientific literature on dry eye.
  • To map the research trends and key areas in dry eye studies.
  • To provide a visual overview of the dry eye research field.

Main Methods:

  • Utilized CitNetExplorer® for citation analysis.
  • Identified relevant papers using "dry eye" keyword in Web of Science (WOS).
  • Analyzed a network of 6,500 highly relevant papers published between 2007-2018.

Main Results:

  • The most cited paper was by Lemp, MA (2007) with a score of 913.
  • Identified five main research clusters: definition/classification, treatment, retina, refractive surgery, and quality of vision.
  • Observed that 64% of papers formed the 'Core Publication' cluster, indicating a focused research area.

Conclusions:

  • Definition and classification of dry eye represent the most researched topics.
  • Treatment of dry eye is the second most prominent research area identified.
  • Citation network analysis effectively highlights the focus and structure of dry eye research.