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Research topics and hotspot trends of lumbar spondylolisthesis: A text-mining study with machine learning

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资源类型：
WOS体系：
Pubmed体系：

收录情况： ◇ SCIE ◇ 预警期刊

作者：
Fan Guoxin[1,2,3] * ; Li Yufeng[4] * ; Yang Sheng[5,6] * ; Qin Jiaqi[7] ; Huang Longfei[8] ; Liu Huaqing[7] ; He Shisheng[5,6] ; Liao Xiang[1,2] ;
机构： [1]Department of Pain Medicine, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China. [2]Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, School of Medicine, Shenzhen University, Shenzhen, China. [3]Department of Spine Surgery, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. [4]Department of Sports Medicine, The Eighth Affiliated Hospital Sun Yat-sen University, Shenzhen, China. [5]Spinal Pain Research Institute, Tongji University School of Medicine, Shanghai, China. [6]Department of Orthopedics, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China. [7]Artificial Intelligence Innovation Center, Research Institute of Tsinghua, Pearl River Delta, Guangzhou, China. [8]Department of Orthopedics, Nanchang Hongdu Hospital of Traditional Chinese Medicine, Nanchang, China.
出处：
DOI： 10.3389/fsurg.2022.1037978
ISSN：

关键词： bibliometrics lumbar spondylolisthesis machine learning latent dirichlet allocation text mining

摘要：
The study aimed to conduct a bibliometric analysis of publications concerning lumbar spondylolisthesis, as well as summarize its research topics and hotspot trends with machine-learning based text mining.The data were extracted from the Web of Science Core Collection (WoSCC) database and then analyzed in Rstudio1.3.1 and CiteSpace5.8. Annual publication production and the top-20 productive authors over time were obtained. Additionally, top-20 productive journals and top-20 influential journals were compared by spine-subspecialty or not. Similarly, top-20 productive countries/regions and top-20 influential countries/regions were compared by they were developed countries/regions or not. The collaborative relationship among countries and institutions were presented. The main topics of lumbar spondylolisthesis were classified by Latent Dirichlet allocation (LDA) analysis, and the hotspot trends were indicated by keywords with strongest citation bursts.Up to 2021, a total number of 4,245 articles concerning lumbar spondylolisthesis were finally included for bibliometric analysis. Spine-subspecialty journals were found to be dominant in the productivity and the impact of the field, and SPINE, EUROPEAN SPINE JOURNAL and JOURNAL OF NEUROSURGERY-SPINE were the top-3 productive and the top-3 influential journals in this field. USA, Japan and China have contributed to over half of the publication productivity, but European countries seemed to publish more influential articles. It seemed that developed countries/regions tended to produce more articles and more influential articles, and international collaborations mainly occurred among USA, Europe and eastern Asia. Publications concerning surgical management was the major topic, followed by radiographic assessment and epidemiology for this field. Surgical management especially minimally invasive technique for lumbar spondylolisthesis were the recent hotspots over the past 5 years.The study successfully summarized the productivity and impact of different entities, which should benefit the journal selection and pursuit of international collaboration for researcher who were interested in the field of lumbar spondylolisthesis. Additionally, the current study may encourage more researchers joining in the field and somewhat inform their research direction in the future.© 2023 Fan, Li, Yang, Qin, Huang, Liu, He and Liao.

基金：
Guangdong Basic and Applied Basic Research Foundation (2019A1515111171) and National Natural Science Foundation of China (82102640) were received in support of this work.
语种：
外文
WOS：
PubmedID：
中科院(CAS)分区：
出版当年[2022]版：
大类 | 4 区 医学
小类 | 4 区 外科
最新[2025]版：
大类 | 4 区 医学
小类 | 4 区 外科
JCR分区：
出版当年[2021]版：
Q2 SURGERY
最新[2023]版：
Q2 SURGERY

影响因子： 最新[2023版] 最新五年平均 出版当年[2021版] 出版当年五年平均 出版前一年[2020版] 出版后一年[2022版]

第一作者：
第一作者机构： [1]Department of Pain Medicine, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China. [2]Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, School of Medicine, Shenzhen University, Shenzhen, China. [3]Department of Spine Surgery, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
共同第一作者：
通讯作者：
通讯机构： [1]Department of Pain Medicine, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China. [2]Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, School of Medicine, Shenzhen University, Shenzhen, China. [5]Spinal Pain Research Institute, Tongji University School of Medicine, Shanghai, China. [6]Department of Orthopedics, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
推荐引用方式(GB/T 7714)：
Fan Guoxin,Li Yufeng,Yang Sheng,et al.Research topics and hotspot trends of lumbar spondylolisthesis: A text-mining study with machine learning[J].FRONTIERS IN SURGERY.2023,9:doi:10.3389/fsurg.2022.1037978.
APA：
Fan Guoxin,Li Yufeng,Yang Sheng,Qin Jiaqi,Huang Longfei...&Liao Xiang.(2023).Research topics and hotspot trends of lumbar spondylolisthesis: A text-mining study with machine learning.FRONTIERS IN SURGERY,9,
MLA：
Fan Guoxin,et al."Research topics and hotspot trends of lumbar spondylolisthesis: A text-mining study with machine learning".FRONTIERS IN SURGERY 9.(2023)

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