ABSTRACT
Objective To use double clustering analysis and visualization method to analyze the research on Siraitiae Fructus in recent ten years; To know the hot spots and trend of research. Methods Relevant research about Siraitiae Fructus in CNKI from January of 2007 to December of 2016 was retrieved by computers, and the retrieval time was February 20th, 2017. BICOMB, NetDraw, gCLUTO and SPSS19.0 software were used to conduct double clustering analysis and visualization analysis for included articles. Keywords were analyzed, and social network graph, visualization matrix, peak image and multidimensional scaling analysis map were drawn. Correlation among high-frequency key words were analyzed. Results Totally 723 articles were included, among which 70 articles were issued during 2012–2016; 76 key words were obtained by key word co-occurrence network map, among which mogroside, MOG, extraction process, tissue culture, cultivation technology, varieties, growth and development were in the core position; visualization and the peak image showed that the topics in this research field could be divided into 6 categories; research hotspot dynamic evolution showed that Siraitiae Fructus flower, beverage, total flavonoids, gene expression, gene cloning, enzyme, apoptosis, and Siraitiae Fructus seed oil would be the hot spots of further study. Conclusion This study reveals that the research on Siraitiae Fructus in the recent ten years are becoming mature, and expand to deep level.
ABSTRACT
Objective To use double clustering analysis and visualization method to analyze the research on Siraitiae Fructus in recent ten years; To know the hot spots and trend of research. Methods Relevant research about Siraitiae Fructus in CNKI from January of 2007 to December of 2016 was retrieved by computers, and the retrieval time was February 20th, 2017. BICOMB, NetDraw, gCLUTO and SPSS19.0 software were used to conduct double clustering analysis and visualization analysis for included articles. Keywords were analyzed, and social network graph, visualization matrix, peak image and multidimensional scaling analysis map were drawn. Correlation among high-frequency key words were analyzed. Results Totally 723 articles were included, among which 70 articles were issued during 2012–2016; 76 key words were obtained by key word co-occurrence network map, among which mogroside, MOG, extraction process, tissue culture, cultivation technology, varieties, growth and development were in the core position; visualization and the peak image showed that the topics in this research field could be divided into 6 categories; research hotspot dynamic evolution showed that Siraitiae Fructus flower, beverage, total flavonoids, gene expression, gene cloning, enzyme, apoptosis, and Siraitiae Fructus seed oil would be the hot spots of further study. Conclusion This study reveals that the research on Siraitiae Fructus in the recent ten years are becoming mature, and expand to deep level.
ABSTRACT
Articles, reviews and proceeding papers published from 2012 to 2015 in medical, chemical and physical journals with the highest IF were retrieved from 2014 JCR and analyzed using the BICOMB software to generate the co-occurrence matrix of authors and plot the map of co-authorship network in medical, chemical and physical fields using the UCINET software.The correlation between the parameters for assessing the importance of co-au-thorship network nodes ( degree centrality, betweenness centrality, closeness centrality, eigenvector centrality) and biblimetric parameters of authors ( number of published papers, frequency of cited papers) was analyzed using the SPSS, which showed that degree centrality, betweenness centrality, and eigenvector centrality were positively corre-lated with the number of published papers and the frequency of cited papers whereas betweenness centrality was negatively correlated the number of published papers and the frequency of cited papers.Betweenness centrality was more significantly correlated with the number of published papers whereas degree centrality was more significantly correlated with the frequency of cited papers.
ABSTRACT
This article selects chronic disease management research of academic literatures published in the national library in PubMed database from January 2000 to December 2013.Literature Bicomb co-occurrence analysis system was used for data extraction,analysis on the current international research achievements of chronic disease management,development situation and existing problems,reveal the research trend of chronic disease management and the status quo,which provided reference for the similar domestic research.