基于CiteSpace近10年神经根型颈椎病研究进展知识图谱可视化分析

目的:利用CiteSpace对近10年神经根型颈椎病相关英文文献进行计量学分析,探讨近10年来该领域的发展动态、研究热点及前沿技术.方法:将Web of Science核心合集数据库(SCI-EXPANDED)中2011年1月1日～2020年7月30日神经根型颈椎病相关文献作为研究对象,统计分析纳入文献年度发表量,运用...

The Visualization Analysis of Knowledge Map of Rsearch Progress of Cervical Spondylotic Radiculopathy Based on CiteSpace in Recent 10 Years*

Objective: CiteSpace was used for the quantitative analysis of cervical spondylotic radiculopathy related English literature in recent 10 years to explore the development trends, research hotspots and the leading edge in this field. Methods: The CSR literature from January1, 2011 to July 30, 2020 in the Web of Science core collection database (SCI-EXPANDED) was taken as the research object, and the annual publication volume was statistically analyzed.The CiteSpace software was used to generate information knowledge maps of countries/regions, disciplines, authors, journals, keywords, emergent, etc, and visual analysis was performed. Results: 680 Documents were included, and the number of articles was on the rise. The most frequently published countries/regions were the United States and China. The main subjects were neuroscience and orthopedics. SPINE and EUR SPINE J were the most popular journals. The author relationship cooperation was mainly based on the cooperation of domestic authors, and there were few transnational studies. The most frequent keywords were cervical radiculopathy and radiculopathy. Twelve keyword cluster tags were obtained by keyword cluster analysis. The most prominent emergent words were interbody fusion, epidemiology, pain, etc. Heterotopic ossification, cervical intervertebral disc replacement and other emergent words were used to predict the development trends. Conclusion: Using CiteSpace to perform a visualized knowledge map analysis of CSR English literature can intuitively display the overall development and research hotspots of CSR research in the past 10 years, and provide references for relevant scholars in scientific research topic selection and research direction prediction, the results have certain value.