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Updated: Jun 27, 2026
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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
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Revealing Academic Evolution and Frontier Pattern in the Field of Uveitis Using Bibliometric Analysis, Natural
Ao Lu1, Keyan Li1, Guannan Su1
1The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, People's Republic of China.
Ocular Immunology and Inflammation
|March 1, 2024
Summary
This study analyzed uveitis research trends, revealing an increasing global involvement and evolving scientific focus. Bibliometric analysis and AI uncovered key patterns in uveitis studies over the past two decades.
Area of Science:
- Ophthalmology
- Bibliometrics
- Artificial Intelligence
Background:
- Uveitis research has seen significant publication growth this century.
- Valuable intelligence is embedded within the extensive body of uveitis literature.
Purpose of the Study:
- To characterize the evolution and patterns in uveitis research over the past two decades.
- To uncover evolving academic trends and frontier patterns in the field of uveitis.
Main Methods:
- Bibliometric analysis of 15,994 uveitis papers divided into four time periods.
- Application of latent Dirichlet allocation topic modeling and machine learning to recent publications.
- Analysis of publication patterns using a quadratic curve fit (R=0.98311).
Main Results:
- Publication trends followed a quadratic curve, indicating specific growth patterns.
- The USA focused on ankylosing spondylitis and biologic therapy, while China focused on OCT and Behcet disease.
- Machine learning models achieved 71.6% accuracy in identifying research patterns.
Conclusions:
- Uveitis research is characterized by increasing global participation and thematic evolution.
- Bibliometric analysis and AI algorithms provide novel insights into research trends and frontiers in uveitis.
- The study highlights the dynamic nature of scientific output and thematic development in ophthalmology.
