基于CNKI数据库的国内代谢组学与健康或疾病文献计量学分析

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目的分析国内发表的代谢组学与健康或疾病的文献报道及发展趋势,为本领域科研人员提供参考。方法以CNKI数据库为资料来源,从文献计量学角度对建国以来国内期刊收录的代谢组学与健康或疾病的文献进行分析,以文献发表年度、来源数据库、来源单位、涉及学科类型、基金资助、被引用情况等几方面进行统计,初步研究与分析本领域的科研状况。结果截至2015-12-31,共检索到相关文献1 344篇。文献数量在2006年迅速增长,自2006/2015-12-31,总共发文1 330篇,占总文献数的98.96%;对代谢组学与健康或疾病文献涉及的学科类型进行统计,共得到1 572篇文献(有的文献涉及交叉学科),其中与医药学科相关的文献共1 335篇,占总文献的84.92%,其中中医学和中药学这两门学科共发表论文474篇,占与医药相关学科文献总量的35.51%。发表文献10篇以上单位共23所,最多达到36篇;获得基金资助的文献总量为621篇,占总文献量的46.21%。文献被引用频次总体偏低,64.96%为零引用。结论代谢组学与健康或疾病的临床和科研工作尚有待加强和深化。应在逐步提高文献报道数量的同时,着重于提升文献质量。 OBJECTIVE: To analyze the published literature and trends of metabolomics and health or disease published in China and provide reference for researchers in this field. Methods The CNKI database was used as a data source to analyze the literature about the metabonomics and health or disease included in the domestic journals since the founding of the People’s Republic of China from the perspective of bibliometrics. Based on the literature published in the year, source database, source units, subject types, fund grants, Citing several aspects such as statistics, preliminary research and analysis of the state of scientific research. Results As of December 31, 2015, a total of 1 344 articles were retrieved. The number of literatures increased rapidly in 2006, and a total of 1 330 articles were published in 2006 / 2015-12-31, accounting for 98.96% of the total number of articles; the statistics of the subjects involved in the literature of the metabolomics and health or illness were statistically analyzed, and 1 There are 572 articles (some of which cover interdisciplinary subjects), of which 1 335 are related to the medical disciplines, accounting for 84.92% of the total, of which 474 are published in both Chinese medicine and traditional Chinese medicine, 35.51% of the total number of related disciplines. There are 23 articles published in more than 10 articles, up to 36 articles; 621 articles funded by the fund, accounting for 46.21% of the total literature. The literature is generally low frequency of reference, 64.96% is zero reference. Conclusion Metabolomics and health or disease of clinical and scientific research needs to be strengthened and deepened. While increasing the number of articles in the literature, we should focus on improving the quality of the literature.
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