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基于社会网络分析和共词分析的制药技术领域研究
引用本文:张婷,程才,陈娟.基于社会网络分析和共词分析的制药技术领域研究[J].现代生物医学进展,2017,17(2):366-373.
作者姓名:张婷  程才  陈娟
作者单位:中国医学科学院/北京协和医学院医学信息研究所/图书馆;中国医学科学院/ 北京协和医学院药物研究所天然药物活性物质与功能国家重点实验室
基金项目:北京协和医学院协和青年基金和中央高校基本科研业务费专项(3332013151);中国医学科学院/北京协和医学院药物研究所天 然药物活性物质与功能国家重点实验室开放课题(GTZK201508)
摘    要:目的:深入研究制药技术领域的发展态势。方法:本研究以Pub Med数据库中收录的制药技术领域研究论文为研究对象,采用社会网络分析、共词分析等定量方法,结合药学专业知识的定性分析,从论文数量年度分布、国家/地区分布及合作网络、研究主题等多个角度开展研究。结果:研究发现:第一,全球制药技术领域共有研究论文95381篇,近几年正处于快速发展阶段;第二,论文发表集中在美国、中国和日本等国家;第三,在定量分析的基础上,结合药学专业知识,共得到15个研究主题,包括点击化学、晶型药物、纳米微球药物等。结论:美国在制药技术领域处于主导地位,中国发文量已经具备一定优势,但发文量和国际影响力与美国相比还是存在较大差距;通过对制药技术领域研究主题的深入分析可以全面把握制药技术领域的研究现状和发展态势。

关 键 词:制药技术  PubMed  Mesh  社会网络分析  共词分析

The Research of Pharmaceuticals Based on Social Network Analysis and Co-word Analysis
Abstract:Objective:To study the development trends in the field of pharmaceuticals deeply.Methods:The development trends in the field of pharmaceuticals were analyzed by quantitative method including social network analysis and co-word analysis, combining qualitative analysis of pharmaceutical knowledge, from the number of paper publications, national/regional distribution and collaboration networks, research subjects, etc.Results:Firstly, there are 95381 paper publications in total, with rapid growth in recent years. Secondly, papers publications are concentrated in the United States, China and Japan; Thirdly, there are 15 research subjects in the field of pharmaceuticals by the method of combining quantitative method with pharmaceutical knowledge, and they are mainly related to click chemistry, polymorph drugs, nanoparticle drugs and so on.Conclusion:The United States is in a dominant position in the field of pharmaceuticals; China has a certain advantage in the number of paper publications, but there is still a large gap compared with the United States in both paper publications and global impact. The deep analysis of 15 research subjects could be helpful to fully grasp the situation and development trends of pharmaceuticals.
Keywords:Pharmaceuticals  PubMed  Mesh  Social network analysis  Co-word analysis
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