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eISSN: 1643-3750

Identification of Recent Trends in Research on Vitamin D: A Quantitative and Co-Word Analysis

Aolin Yang, Qingqing Lv, Feng Chen, Difei Wang, Ying Liu, Wanying Shi

(Department of Nutrition, The First Hospital of China Medical University, Shenyang, Liaoning, China (mainland))

Med Sci Monit 2019; 25:643-655

DOI: 10.12659/MSM.913026

Published: 2019-01-22


BACKGROUND: In recent years, many studies on vitamin D have been published. We combed these data for hot spot analyses and predicted future research topic trends.
MATERIAL AND METHODS: Articles (4625) concerning vitamin D published in the past 3 years were selected as a study sample. Bibliographic Items Co-occurrence Matrix Builder (BICOMB) software was used to screen high-frequency Medical Subject Headings (MeSH) terms and construct a MeSH terms-source article matrix and MeSH terms co-occurrence matrix. Then, Graphical Clustering Toolkit (gCLUTO) software was employed to analyze the matrix by double-clustering and visual analysis to detect the trends on the subject.
RESULTS: Ninety high-frequency major MeSH terms were obtained from 4625 articles and divided into 5 clusters, and we generated a visualized matrix and a mountain map. Strategic coordinates were established by the co-occurrence matrix of the MeSH terms based on the above classification, and the 5 clusters described above were further divided into 7 topics. We classified the vitamin D-related diseases into 12 categories and analyzed their distribution.
CONCLUSIONS: The analysis of strategic coordinates revealed that the epidemiological study of vitamin D deficiency and vitamin D-related diseases is a hot research topic. The use of vitamin D in the prevention and treatment of some diseases, especially diabetes, was found to have a significant potential future research value.

Keywords: Bibliometrics, Diabetes Mellitus, Neoplasms, Vitamin D



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