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药品不良反应信号挖掘文献计量学分析
Adverse Drug Reactions Signal Mining Biblio metrological Analysis
  
DOI:
中文关键词:  药品不良反应  信号挖掘  数据挖掘  文献计量学
英文关键词:Adverse drug reactions  Signal mining  Data mining  Bibliometrics
基金项目:
作者单位
丁月霞1 李硕硕2 郭晨煜1 尹爱群3 唐启令1 1.青岛大学附属烟台毓璜顶医院药学部 山东烟台 2640002.烟台大学药学院3.烟台市药品不良反应监测中心 
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中文摘要:
      摘 要 目的:深入了解药品不良反应信号的研究概况,客观反映相关国家、机构和科学家在研究药品不良反应的领域中具备的科学能力和影响力。方法:以科学引文索引(SCI) 数据库Web of Science为检索平台,以“adverse reaction signal mining”“adverse reaction data mining”为主题词进行高级检索,采用文献计量学的方法,分析以不良反应信号挖掘为主题的相关文献在国家/地区、机构、作者来源、出版物、年发文量、年引文量和引用排名前10名的情况。同时,以中国知网(CNKI) 中的中国期刊全文数据库为检索平台,高级检索“不良反应信号挖掘”“不良反应数据挖掘”为主题词的所有中文文献并进行文献计量学的分析。检索时间截止到2018年6月30日。 结果:在Web of Science 数据库中检索到英文文献191篇,年发文量与年引文数以2013为最多,h index为36,美国和法国的发文量为103篇,占总数的53.93%。在CNKI中检索到的中文文献为41篇,研究最多的机构为第二军医大学,发文量为11篇,占总数的26.83%。结论:关于药品不良反应信号挖掘的研究发展迅速,且一直保持着一定的研究热度,但挖掘技术和数据利用的方法还需要进一步探索。
英文摘要:
      ABSTRACT Objective: To gain an in depth understanding of the research profile of adverse reaction signals and to objectively reflect the scientific capabilities and influence of relevant countries, institutions, and scientists in the field of studying adverse drug reactions.Methods:Using the Science Citation Index (SCI) database Web of Science as a search platform, advanced search using “adverse reaction signal mining” “adverse reaction data mining” as the subject heading, and using bibliometric methods to analyze adverse reaction signal mining as Topics related to the top 10 in terms of country/region, institution, source of authorship, publication, annual text volume, annual citation volume, and quotation.At the same time, using the Chinese Journal Full text Database in CNKI as a search platform, advanced search “adverse reaction signal mining” “adverse reaction data mining” as the subject of all Chinese literature and literature metrology analysis. The time span is from January 1st, 1990 to June 30th, 2018. Results:191 English documents were retrieved from the Web of Science database. The number of annual and year citations was the highest in 2013, the h index was 36, and 103 articles were published in the United States and France, accounting for 53.93% of the total. The number of Chinese documents retrieved in CNKI was 41, and the most studied was the Second Military Medical University. The number of documents issued was 11 and accounted for 26.83% of the total. Conclusion: The research on adverse drug reaction signal mining research increased rapidly, and has always maintained a certain degree of research interest, but the mining technology and data utilization needs to be further matured.
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