ArticleBMC complementary and alternative medicine2019
Research trends in Korean medicine based on temporal and network analysis.
Article in BMC complementary and alternative medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Trends in the Development of Acupuncture-Related Technologies Based on Patents in South Korea.Evidence-based complementary and alternative medicine : eCAM · 2024Article
- Comparative gut microbiome analysis of the3 Biotech · 2020Article
- TextRank-based healthcare big data analysis system for text network analysis and trend phase identification.Digital healthArticle
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Authors and funding
3 authors.
Funding
Abstract
backgroundMuch research on Korean medicine has been recently published in Korea. The aim of this study was to determine the research trends in Korean medicine by performing a comprehensive analysis of articles that have been published in Korea using temporal and network analysis methods.
methodsA total of 29,876 articles from 1963 to 2018 were prepared from OASIS (Oriental Medicine Advanced Searching Integrated System), the largest portal for Korean medicine. After the keywords and years were extracted from the metadata of the articles, an annual frequency matrix was obtained for the keywords. By using the matrix, the temporal trends of the keywords were analyzed by comparing the changes in similarity between the lists of keywords by year. Moreover, to analyze the relationship among research topics, a clustered network was constructed in which a node was a keyword and an edge was a similarity between two keywords.
resultsThe temporal trend of the keywords was classified into six chronological phases. The appearance frequency of most keywords tended to increase gradually, but only the keywords "mibyeong," "systems biology" and "korean medicine hospital" appeared in the most recent phase. The network of keywords was clustered and visualized into thirteen groups with the Gephi software. The main keywords in each group were related to effects such as "anti-inflammation" and "antioxidant," to diseases such as "allergic rhinitis" and "diabetes" and to therapies such as "herbal acupuncture" and "herbal formula."
conclusionsThe analysis of the trends determined in this study provides a systematic understanding as well as future research directions in Korean medicine to researchers. In the future, an overall analysis of the research trends in Korean medicine will be done by analyzing articles published in Korea and other countries.
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