Key words-based analysis of subjects in Chinese papers on Kashin-Beck disease
10.3969/j.issn.1671-3982.2014.09.005
- VernacularTitle:基于关键词的大骨节病中文文献研究主题剖析
- Author:
Jiexian DING
;
Lu LIU
;
Lun LI
;
Jinhui TIAN
;
Kehu YANG
;
Hongliang TIAN
;
Quan WANG
;
Chunhu SHI
- Publication Type:Journal Article
- Keywords:
Research subject;
Co-word clustering analysis;
Kashin-Beck disease;
Bibliometrics
- From:Chinese Journal of Medical Library and Information Science
2014;(9):20-24
- CountryChina
- Language:Chinese
-
Abstract:
Objective To reveal the main interests in studies of Kashin-Beck disease by analyzing the key words in Chinese papers on Kashin-Beck disease .Methods Chinese papers on Kashin-Beck disease were retrieved from CNKI, CBM, VIP, and Wanfang digital journal full-text database.A co-word matrix was generated by abstracting their key words which were analyzed by gCLUTO clustering .Results The studies on Kashin-Beck disease were centered on the role of fusarium metabolic toxins and fulvic acid in pathology of Kashin-Beck disease, etiology of Kashin-Beck disease, functional change in Kashin-Beck disease patients, relation between Kashin-Beck disease and geological envi-ronment, monitoring and X-ray diagnosis of Kashin-Beck disease, surgical treatment of Kashin-Beck disease, preven-tion and treatment efficiency analysis of Kashin-Beck disease.Social network figure showed that etiology of Kashin-Beck disease, relation between Kashin-Beck disease and geological environment, monitoring and X-ray diagnosis of Kashin-Beck disease, surgical treatment of Kashin-Beck disease, prevention and treatment efficiency analysis of Kashin-Beck disease were the hot spots in studies of Kashin-Beck disease at present.Conclusion The research subjects determined by co-word clustering analysis are consistent with the interests in studies of Kashin-Beck disease in China at present.