Abstract
BackgroundThe distribution pattern and knowledge structure of choroidal neovascularization (CNV) was surveyed based on literatures in PubMed.MethodsPublished scientific papers about CNV were retrieved from Jan 1st, 2012 to May 31st, 2017. Extracted MeSH terms were analyzed quantitatively by using Bibliographic Item Co-Occurrence Matrix Builder (BICOMB) and high-frequency MeSH terms were identified. Hierarchical cluster analysis was conducted by SPSS 19.0 according to the MeSH term-source article matrix. High-frequency MeSH terms co-occurrence matrix was constructed to support strategic diagram and social network analysis (SNA).ResultsAccording to the searching strategy, all together 2366 papers were included, and the number of annual papers changed slightly from Jan 1st, 2012 to May 31st, 2017. Among all the extracted MeSH terms, 44 high-frequency MeSH terms were identified and hotspots were clustered into 6 categories. In the strategic diagram, clinical drug therapy, pathology and diagnosis related researches of CNV were well developed. In contrast, the metabolism, etiology, complications, prevention and control of CNV in animal models, and genetics related researches of CNV were relatively immature, which offers potential research space for future study. As for the SNA result, the position status of each component was described by the centrality values.ConclusionsThe studies on CNV are relatively divergent and the 6 research categories concluded from this study could reflect the publication trends on CNV to some extent. By providing a quantitative bibliometric research across a 5-year span, it could help to depict an overall command of the latest topics and provide some hints for researchers when launching new projects.
Highlights
The distribution pattern and knowledge structure of choroidal neovascularization (CNV) was surveyed based on literatures in PubMed
To understand the structure of the network on CNV, we evaluated the location of these Medical subject headings (MeSH) terms in the network by measuring the degree, betweenness and closeness centralities of each node
Among the top ten journals, the top three journals are Retina, Investigative Ophthalmology & Visual Science (IOVS) and Ophthalmology, and these three journals consist more than 20% of the total searched literatures in this field
Summary
The distribution pattern and knowledge structure of choroidal neovascularization (CNV) was surveyed based on literatures in PubMed. Bibliometry is helpful for scientists to monitor the growth and patterns of a specific scientific field. Methods such as cocitation analysis and co-word analysis can be used to. Co-word analysis is a content analysis method based on the principle that a selected literature can be represented by a set of professional words [6]. In this analysis, the relationship of two interested professional words is defined by the frequency of their co-existence in the same article. In a field of interest, cluster analysis has been adapted comprehensively to acquire the research themes [7]
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