Visualization Analysis on Diagnostic Criteria Research of Syndrome of Yin Deficiency of Liver and Kidney Based on CiteSpace V
- VernacularTitle:基于CiteSpace V软件的肝肾阴虚证证候诊断标准研究的可视化分析
- Author:
Yi QIN
1
;
Xu ZHANG
;
Jianxin ZHAO
;
Yuanxiang TIAN
Author Information
- Keywords: CiteSpace; syndrome of yin deficiency of liver and kidney; diagnostic criteria; visualization analysis; research history; status quo; tendency
- From: World Science and Technology-Modernization of Traditional Chinese Medicine 2017;19(4):556-562
- CountryChina
- Language:Chinese
- Abstract: This paper used the co-word analysis function of CiteSpace V to take the visualization analysis of related articles,research history,status quo and tendency of diagnostic criteria research of syndrome of yin deficiency of liver and kidney.China National Knowledge Infrastructure (CNKI) was used as the data source.A total of 99 papers related to diagnostic criteria research of syndrome of yin deficiency of liver and kidney were retrieved.And then,the data files were imported into CiteSpace V.The co-word and visualization analysis of authors,institutions and keywords were conducted.With the visualization analysis,the research found 389 main researchers and 4 stable research teams of diagnostic criteria research of syndrome of yin deficiency of liver and kidney.Traditional Chinese medicine (TCM) clinical basic medical institute and affiliated hospitals of universities of Chinese medicine and each region of the Chinese medicine hospital are the main institutions of this field.Cluster analysis of keywords showed that main research directions in this field contain the establishment of TCM diagnostic criteria of syndrome of yin deficiency of liver and kidney,syndrome differentiation of TCM,syndrome factors and correlational study.Diseases which attract more attentions are IgA nephropathy,hypertension,cirrhosis,chronic hepatitis B,and etc.The research result not only visually understands the research history,status quo and main research direction of this field,but also forecasts the development tendency of this field.
