王伟斌 李群 王映辉 李圣耀 李敏 王俊文

摘要：目的  對国内涉医舆情研究相关文献进行分析，为本领域研究人员了解相关研究概况、研究特点等提供参考。方法  以中国知识资源总库（CNKI）、中国学术期刊数据库（万方数据）、中国生物医学文献数据库（CBM）、中文科技期刊数据库（维普网）为数据来源进行检索，运用Excel 2016对年度发文数量、发文作者、发文单位、资助基金、载文期刊、关键词等进行统计;应用SPSS 22.0软件对高频关键词进行聚类分析。结果  纳入相关文献551篇，包括期刊论文468篇、学位论文53篇、会议论文30篇;最高年度发文数量为89篇（2016年）;发文数量最高的学者为首都医科大学王蕾（8篇）、中国医学科学院尹孔阳（8篇）;作者合作度为1.79，论文合著率为54.45%。第一作者发文数量最高的单位为首都医科大学（18篇）;资助基金以省级基金为主，整体资助率为31.4%;高载文量期刊影响因子多高于2019年中国科技期刊扩展版影响因子的平均数，但他引率多低于平均水平;高频关键词有网络舆情（141次）、医院（85次）、新媒体（84次）、医患关系（66次）、舆情应对（57次）等。结论  涉医舆情研究热度逐渐增高，涉医舆情研究已进入互联网高度参与的新模式探索时期，医院及医患关系仍是涉医舆情领域的主体及研究热点。

关键词：涉医舆情;研究特点;文献计量;医院

中图分类号：G353.1;G206    文献标识码：A    文章编号：2095-5707（2020）04-0006-07

DOI： 10.3969/j.issn.2095-5707.2020.04.002        开放科学（资源服务）标识码（OSID）：

Bibliometric Analysis on Research of Medical Public Opinion

WANG Wei-bin¹， LI Qun¹， WANG Ying-hui²， LI Sheng-yao³， LI Min²， WANG Jun-wen^4*

（1. The Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine， Guangzhou 510120， China; 2.Institute of Information on Traditional Chinese Medicine， China Academy of Chinese Medical Sciences， Beijing 100700， China; 3. Xiyuan Hospital， China Academy of Chinese Medical Sciences， Beijing 100091， China; 4. Institute of Basic Theory for Chinese Medicine， China Academy of Chinese Medical Sciences， Beijing 100700， China）

Abstract： Objective To analyze the relevant literature of research on medical public opinion in China; to provide reference and data support for researchers in this field to understand the general situation and characteristics of related research. Methods China Knowledge Resources Database （CNKI）， China Academic Journal Database （Wanfang Data）， China Biomedical Literature Database （CBM）， and Chinese Science and Technology Periodical Database （VIP） were used as data sources to retrieve the data of research on medical

public opinion. Microsoft Office Excel 2016 was used to analyze the annual number of papers， authors， units， funding funds， journals， keywords and other items; SPSS 22.0 software was applied to conduct cluster analysis on high-frequency keywords. Results Totally 551 relevant articles were involved， including 468 journal papers， 53 dissertations and 30 conference papers; the highest annual volume was 89 （2016）; Wang Lei （8 papers） from Capital Medical University and Yin Kong-yang （8 papers） from Chinese Academy of Medical Sciences were the authors with the most papers; the author cooperation degree was 1.79， and the paper co-authorship rate was 54.45%. The unit with the highest number of first authors papers was Capital Medical University （18 papers）; provincial medical funds were the main funding funds， with an overall funding rate of 31.4%; the influence factors of high volume journals were mostly higher than the average impact factors of Chinese Sci-tech Journals in 2019， but their citation rates were mostly lower than the average level; high-frequency keywords included network public opinion （141 times）， hospital （85 times）， new media （84 times）， doctor-patient relationship （66 times）， and public opinion response （57 times）. Conclusion The research on medical public opinion has gradually increased， and the research on medical public opinion has entered a new mode exploration period with high participation of Internet. The relationship among hospitals and doctor-patient is still the main body and research hotspot in the field of medical public opinion.

Key words： medical public opinion; research characteristics; bibliometrics; hospital

舆情是“舆论情况”的简称，是指在一定的社会空间内，围绕中介性社会事件的发生、发展和变化，作为主体的民众对作为客体的社会管理者、企业、个人及其他各类组织及其政治、社会、道德等方面的取向产生和持有的社会态度。……