Suppr超能文献

药用植物的全球研究趋势。

Worldwide Research Trends on Medicinal Plants.

机构信息

Faculty of Law, Universidad Internacional de La Rioja (UNIR), 26006 Logroño, Spain.

Department of Biology and Geology, University of Almeria, ceiA3, 04120 Almeria, Spain.

出版信息

Int J Environ Res Public Health. 2020 May 12;17(10):3376. doi: 10.3390/ijerph17103376.

Abstract

The use of medicinal plants has been done since ancient times and may even be considered the origin of modern medicine. Compounds of plant origin have been and still are an important source of compounds for drugs. In this study a bibliometric study of all the works indexed in the Scopus database until 2019 has been carried out, analyzing more than 100,000 publications. On the one hand, the main countries, institutions and authors researching this topic have been identified, as well as their evolution over time. On the other hand, the links between the authors, the countries and the topics under research have been analyzed through the detection of communities. The last two periods, from 2009 to 2014 and from 2015 to 2019, have been examined in terms of research topics. It has been observed that the areas of study or clusters have been reduced, those of the last period being those engaged in unclassified drug, traditional medicine, cancer, in vivo study-antidiabetic activity, and animals-anti-inflammatory activity. In summary, it has been observed that the trend in global research is focused more on the search for new medicines or active compounds rather than on the cultivation or domestication of plant species with this demonstrated potential.

摘要

药用植物的使用可以追溯到古代,甚至可以被认为是现代医学的起源。植物来源的化合物一直是药物化合物的重要来源。在这项研究中,对 Scopus 数据库中截至 2019 年的所有索引作品进行了文献计量学研究,分析了超过 10 万篇出版物。一方面,确定了研究这个主题的主要国家、机构和作者,以及它们随时间的演变。另一方面,通过检测社区,分析了作者、国家和研究主题之间的联系。最后两个时期,即 2009 年至 2014 年和 2015 年至 2019 年,从研究主题方面进行了检查。观察到研究领域或聚类已经减少,最后一个时期的研究领域是未分类药物、传统医学、癌症、体内研究-抗糖尿病活性和动物-抗炎活性。总之,观察到全球研究趋势更加关注寻找新药或活性化合物,而不是培养或驯化具有这种潜力的植物物种。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/516b/7277765/98ff0ec90ab6/ijerph-17-03376-g002.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验