期刊文献+

基于PubMed和Web of Science数据平台的中医药网络药理学论文特征分析 被引量:5

Analysis of Characteristics of Traditional Chinese Medicine Papers Related to Network Pharmacology Based on PubMed and Web of Science Data Platforms
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摘要 目的:基于PubMed和Web of Science两大外文数据库,运用文献计量学的方法对中医药网络药理学的相关论文进行特征分析,以期评价目前国内外中医网络药理学的科研水平,总结研究热点,预判研究趋势。方法:以"network pharmacology"和"中医药"为并列主题词,在PubMed和Web of Science中检索2008-2018年的相关论文,并对年发文数,发表地区分布,研究内容,期刊分布,参考文献引用等内容进行描述性统计分析。对参考文献的篇引用数和普赖斯指数以中英文进行独立样本t检验。结果:研究共纳入447篇论文。中医药网络药理学的发文数量逐年上升,至今仍处于上升期。论文作者的单位以国内占据多数。从研究内容来看,以复方的网络药理学研究为主,而复方中又以自拟方占据一半之多。研究方向主要涉及循环系统疾病、肿瘤、消化系统疾病和神经系统疾病。从期刊来看,高影响因子的论文较少,青睐发Scientific Reports,Frontiers in Pharmacology和Journal of Ethnopharmacology等。再者,从参考文献的引用情况分析,中英文刊的参考文献篇引用数具有显著差异(P<0.001),而普赖斯指数没有差异。结论:中医药网络药理学的发展仍处于上升期,近些年来,对所得虚拟网络要求进行验证的期刊越来越多。高影响因子中医药网络药理学的论文仍是短板。 Objective:Based on PubMed and Web of Science,we analyzed the characteristics of related papers about network pharmacology in Traditional Chinese Medicine(TCM)using bibliometrics in order to evaluate the current research level of TCM network pharmacology at home and abroad,summarize the research hotspots and predict the trends. Methods:"Network pharmacology"and"traditional Chinese medicine or TCM or Chinese herbs"were selected as the MeSH terms to search related papers from 2008 to 2018 in PubMed and Web of Science. Descriptive statistical analysis was carried out in the number of publications yearly,regional distribution,research content,journal distribution and number of cited references and Price index. Meanwhile,we performed an independent sample t test on the number of cited references and the Price index between Chinese and English articles. Results:Altogether,there were 447 papers met the criteria. The number of publications about TCM-based network pharmacology has increased yearly and is still rising. The author units from China took the majority. From the perspective of research content,most TCM-based network pharmacologies were related with formula,among which selfprescriptions accounted for over the half. With regard to research interests,diseases of the circulatory system,tumors,diseases of the digestive system and diseases of the nervous system were ranked in top 4. From the perspective of journals,there were fewer papers with high impact factors. Scientific Reports,Frontiers in Pharmacology and Journal of Ethnopharmacology were preferred. Furthermore,from the citation analysis of the references,there was a significant difference in the mean cited references each paper between Chinese and English publications(P<0.001),while the Price index did not differ statistically. Conclusion:The development of TCM-based network pharmacology is still on the rise. In recent years,more and more English journals require the validation after constructing a virtual network. High impact factor papers about network pharm
作者 倪胜楼 方明 赵笑芃 潘映辛 吴雨婷 刘芳廷 李玲孺 吴凤芝 NI Shenglou;FANG Ming;ZHAO Xiaopeng;PAN Yingxin;WU Yuting;LIU Fangting;LI Lingru;WU Fengzhi(Beijing University of Chinese Medicine,Beijing 100029,China;Liaoning University of Traditional Chinese Medicine,Shenyang 110847,Liaoning,China)
出处 《辽宁中医药大学学报》 CAS 2019年第12期73-77,共5页 Journal of Liaoning University of Traditional Chinese Medicine
基金 国家自然科学基金重点项目(81730112)
关键词 中医药 网络药理学 特征分析 期刊 普赖斯指数 traditional Chinese medicine network pharmacology characteristic analysis periodical price index
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