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Bibliometric analysis of Wendan decoction research based on the Web of Science database

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摘要 Objective:With the development of Wendan decoction(WDD)and more literature on the research of WDD,we aimed to present an insight into WDD research using bibliometric analysis.Methods:We retrieved data from the Web of Science database from 2008 to 2022.Publication trends were examined using data from journals,authors,institutions,international collaborations,citations,and keywords from the online analytical platform Bibliometric(http://bibliometric.com).Results:Over the years,an increase in the use of keywords,including depression,insomnia,Alzheimer’s disease,schizophrenia,hippocampus,and insomnia,was observed.The outcomes of the analysis revealed that topics related to WDD have become increasingly prevalent in the last five years,and the internationally recognized application of WDD is mainly neuropsychiatric diseases.Conclusion:We exhibited WDD research progress by identifying and evaluating WDD-focused articles.Our analysis revealed the trend of the topics from 2008 to 2022,which can assist scholars in identifying future trends.
出处 《Medical Data Mining》 2023年第3期10-18,共9页 TMR医学数据挖掘
基金 This research was partly funded by the Traditional Chinese Medicine Science and Technology Development Plan Project of Jiangsu Province(ZT202113 to Haibing Hua) the Scientific Research Project of Jiangyin Association of Chinese Medicine(Y202205 to Yufeng Zhang) the ChengXing Talent Training Plan of Jiangyin Hospital of Traditional Chinese Medicine(2022 to Yufeng Zhang).
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