摘要
为推进人畜共患病的进一步研究,笔者利用文献计量法和信息可视化工具CiteSpace V,对中国知网2000—2019年期间以人畜共患病研究为主题的中文期刊论文从发文数、核心区期刊、核心机构、研究内容进行了分析。结果表明:该研究领域的年发文量随疫情的变化而波动;随着广大学者对人畜共患病的关注,已经形成一些具有相当学术影响力的核心区期刊,但是还没有形成核心机构群,机构之间的合作有待进一步加强;目前研究成果多围绕人畜共患病的致病原、临床诊断、防治策略和疫苗研制等主题展开。通过对文献的梳理与分析,针对现有研究的不足,笔者提出了要加强对国内研究机构在国内外期刊发表的人畜共患病研究论文的分析、鼓励相关期刊刊发人畜共患病研究相关学术论文、实现人畜共患病的跨学科研究、强化对人畜共患病防治信息化平台建设的建议。
To promote further research on zoonoses based on literature bibliometric analysis and the information visualization tool CiteSpace V, the author analyzed Chinese journal papers on zoonosis research from CNKI from 2000 to 2019 in terms of number of papers published, core journals, core institutions, research contents. The results showed that the annual publication of papers in this research field fluctuated with the change of epidemic situation. With the attention of the majority of scholars to zoonoses, the core journals with considerable academic influence had been formed, but the core group of institutions had not been formed, and the cooperation between institutions needed to be further strengthened. At present, most of the research results focus on the etiology, clinical diagnosis, prevention and treatment strategies, vaccine development of zoonosis. Based on the literature review and analysis, the author proposed relevant suggestions to strengthen the analysis of the research papers on zoonoses published by domestic research institutions in domestic and foreign journals, and encourage academic papers on zoonoses be published in relevant journals, and realize interdisciplinary research on zoonoses, and strengthen the construction of an information platform for the prevention and control of zoonoses.
作者
沈振锋
夏雪
SHEN Zhenfeng;XIA Xue(Development Planning Department,Huazhong Agricultural University,Wuhan 430070,China;College of Public Administration,Huazhong Agricultural University,Wuhan 430070,China)
出处
《黑龙江畜牧兽医》
CAS
北大核心
2021年第8期28-33,150,151,共8页
Heilongjiang Animal Science And veterinary Medicine
关键词
人畜共患病
研究热点
文献计量法
聚类分析
知识图谱
zoonoses
research hotspots
literature bibliometric analysis
clustering analysis
knowledge mapping
