School of Foreign Languages, Central China Normal University, Wuhan, 430000, China.
MR Scientific Marketing, Siemens Healthineers, Wuhan, 430071, China.
Jpn J Radiol. 2022 Aug;40(8):847-856. doi: 10.1007/s11604-022-01268-z. Epub 2022 Mar 28.
PURPOSE: To spotlight the trends and hot topics looming from the highly cited papers in the subject category of Radiology, Nuclear Medicine & Medical Imaging with bibliometric analysis. MATERIALS AND METHODS: Based on the Essential Science Indicators, this study employed a bibliometric method to examine the highly cited papers in the subject category of Radiology, Nuclear Medicine & Medical Imaging in Web of Science (WoS) Categories, both quantitatively and qualitatively. In total, 1325 highly cited papers were retrieved and assessed spanning from the years of 2011 to 2021. In particular, the bibliometric information of the highly cited papers based on WoS database such as the main publication venues, the most productive countries, and the top cited publications was presented. An Abstract corpus was built to help identify the most frequently explored topics. VoSviewer was used to visualize the co-occurrence networks of author keywords. RESULTS: The top three active journals are Neuroimage, Radiology and IEEE T Med Imaging. The United States, Germany and England have the most influential publications. The top cited publications unrelated to COVID-19 can be grouped in three categories: recommendations or guidelines, processing software, and analysis methods. The top cited publications on COVID-19 are dominantly in China. The most frequently explored topics based on the Abstract corpus and the author keywords with the great link strengths overlap to a great extent. Specifically, phrases such as magnetic resonance imaging, deep learning, prostate cancer, chest CT, computed tomography, CT images, coronavirus disease, convolutional neural network(s) are among the most frequently mentioned. CONCLUSION: The bibliometric analysis of the highly cited papers provided the most updated trends and hot topics which may provide insights and research directions for medical researchers and healthcare practitioners in the future.
目的:通过文献计量分析,突显放射学、核医学和医学影像学领域高被引论文中的趋势和热点话题。
材料和方法:本研究基于基本科学指标,采用文献计量学方法,对 Web of Science(WoS)类别中放射学、核医学和医学影像学领域的高被引论文进行了定量和定性分析。共检索到 1325 篇高被引论文,时间跨度为 2011 年至 2021 年。特别展示了基于 WoS 数据库的高被引论文的文献计量信息,如主要出版地、最具生产力的国家和高被引出版物。建立了一个摘要语料库,以帮助识别最常探讨的主题。VoSviewer 用于可视化作者关键词的共现网络。
结果:排名前三的活跃期刊是 Neuroimage、Radiology 和 IEEE T Med Imaging。美国、德国和英国拥有最具影响力的出版物。与 COVID-19 无关的高被引出版物可分为三类:建议或指南、处理软件和分析方法。关于 COVID-19 的高被引出版物主要来自中国。基于摘要语料库和作者关键词的最常探讨的主题在很大程度上重叠,具有很强的联系强度。具体来说,磁共振成像、深度学习、前列腺癌、胸部 CT、计算机断层扫描、CT 图像、冠状病毒病、卷积神经网络等是最常被提及的。
结论:对高被引论文的文献计量分析提供了最新的趋势和热点话题,可为未来的医学研究人员和医疗保健从业者提供见解和研究方向。
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