Aims The aim of this study was to conduct a bibliometric analysis of the relevant literature on Duchenne muscular dystrophy (DMD) to ascertain its current status, identify key areas of research and demonstrate the evolution of the field.Methods The analysis sourced documents from the Science Citation Index Expanded in the Web of Science core collection, utilizing CiteSpace software and an online bibliometric platform to analyze collaborative networks among authors, institutions and countries, and to map out the research landscape through journal and reference evaluations. Keyword analyses, including clustering and emergent term identification, were conducted, alongside the development of knowledge maps.Results The study included 9,277 documents, indicating a rising publication trend in the field. The Institut National de la Sant & eacute; et de la Recherche M & eacute;dicale emerged as the top publishing institution, with Francesco Muntoni as the most prolific author. The United States dominated in publication output, showcasing significant leadership. The keyword analysis highlighted 786 key emergent terms, primarily focusing on the mechanisms, diagnostics and treatment approaches in DMD.Conclusion The field of DMD research is experiencing robust growth, drawing keen interest globally. A thorough analysis of current research and trends is essential for advancing knowledge and therapeutic strategies in this domain.
基金:
Clinical Medical Talent Training Project Fund,sponsored by the Hebei Provincial Finance Department and Hebei Provincial Health Commission (ZF2024049), as well as the Key Laboratory of Clinical Neurology (Hebei Medical University)Autonomous Fund Project (303-23-06-02).
第一作者机构:[1]Hebei Med Univ, Dept Neurol, Shijiazhuang, Hebei, Peoples R China[2]Handan Cent Hosp, Dept Neurol, Handan, Hebei, Peoples R China
通讯作者:
通讯机构:[6]Hebei Med Univ, Dept Neurol, Hosp 2, Shijiazhuang, Hebei, Peoples R China[8]Hebei Med Univ, Key Lab Clin Neurol, Minist Educ, Shijiazhuang, Hebei, Peoples R China[9]Neurol Lab Hebei Prov, Shijiazhuang, Hebei, Peoples R China
推荐引用方式(GB/T 7714):
Fang Pingping,Han Jingzhe,An Di,et al.Research hotspots and trends for Duchenne muscular dystrophy: a machine learning bibliometric analysis from 2004 to 2023[J].FRONTIERS IN IMMUNOLOGY.2024,15:doi:10.3389/fimmu.2024.1429609.
APA:
Fang, Pingping,Han, Jingzhe,An, Di,Bu, Yi,Ji, Guang...&Song, Xueqin.(2024).Research hotspots and trends for Duchenne muscular dystrophy: a machine learning bibliometric analysis from 2004 to 2023.FRONTIERS IN IMMUNOLOGY,15,
MLA:
Fang, Pingping,et al."Research hotspots and trends for Duchenne muscular dystrophy: a machine learning bibliometric analysis from 2004 to 2023".FRONTIERS IN IMMUNOLOGY 15.(2024)