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2003年至2023年帕金森病患者意外跌倒的知识图谱与研究趋势:一项文献计量分析

Knowledge mapping and research trends of accidental falls in patients with Parkinson's disease from 2003 to 2023: a bibliometric analysis.

作者信息

Shi Luya, Yih Bongsook

机构信息

Municipal Hospital Affiliated to Taizhou University, Taizhou, Zhejiang, China.

Department of Graduate, School of Nursing, Sehan University, Yeonggam, Republic of Korea.

出版信息

Front Neurol. 2024 Aug 22;15:1443799. doi: 10.3389/fneur.2024.1443799. eCollection 2024.

Abstract

BACKGROUND

Recent years have witnessed a rapid growth in research on accidental falls in patients with Parkinson's Disease (PD). However, a comprehensive and systematic bibliometric analysis is still lacking. This study aims to systematically analyze the current status and development trends of research related to accidental falls in patients with PD using bibliometric methods.

METHODS

We retrieved literature related to accidental falls in patients with PD published between January 1, 2003, and December 31, 2023, from the Web of Science Core Collection (WoSCC) database. Statistical analysis and knowledge mapping of the literature were conducted using VOSviewer, CiteSpace, and Microsoft Excel software.

RESULTS

A total of 3,195 publications related to accidental falls in patients with PD were retrieved. These articles were authored by 13,202 researchers from 3,834 institutions across 87 countries and published in 200 academic journals. Over the past 20 years, the number of published articles and citations has increased annually. The United States and the United Kingdom have the highest number of publications in this field, while Harvard University and Tel Aviv University are the most influential institutions. The journal published the highest number of articles, while the journal had the highest number of citations. The most prolific author is Bloem, Bastiaan R, while the most cited author is Hausdorff, Jeffrey. The main research areas of these publications are Neurosciences, Biomedical, Electrical & Electronic, and Biochemistry & Molecular Biology. Currently, high-frequency keywords related to accidental falls in patients with PD include risk factors, clinical manifestations, and interventions. Prediction and prevention of accidental falls in such patients is a research topic with significant potential and is currently a major focus of research.

CONCLUSION

This study used bibliometric and knowledge mapping analysis to reveal the current research status and hotspots in the field of accidental falls in patients with PD. It also points out directions for future research. This study can provide theoretical support and practical guidance for scholars to further conduct related research.

摘要

背景

近年来,帕金森病(PD)患者意外跌倒的研究迅速增长。然而,仍缺乏全面系统的文献计量分析。本研究旨在运用文献计量方法系统分析PD患者意外跌倒相关研究的现状和发展趋势。

方法

我们从Web of Science核心合集(WoSCC)数据库中检索了2003年1月1日至2023年12月31日期间发表的与PD患者意外跌倒相关的文献。使用VOSviewer、CiteSpace和Microsoft Excel软件对文献进行统计分析和知识图谱绘制。

结果

共检索到3195篇与PD患者意外跌倒相关的出版物。这些文章由来自87个国家3834个机构的13202名研究人员撰写,并发表在200种学术期刊上。在过去20年里,发表文章数量和被引次数逐年增加。美国和英国在该领域的出版物数量最多,而哈佛大学和特拉维夫大学是最具影响力的机构。 期刊发表的文章数量最多,而 期刊的被引次数最高。发文量最多的作者是布洛姆,巴斯蒂安·R,而被引次数最多的作者是豪斯多夫,杰弗里。这些出版物的主要研究领域是神经科学、生物医学、电气与电子以及生物化学与分子生物学。目前,与PD患者意外跌倒相关的高频关键词包括危险因素、临床表现和干预措施。此类患者意外跌倒的预测和预防是一个具有重大潜力的研究课题,目前是研究的主要焦点。

结论

本研究运用文献计量和知识图谱分析揭示了PD患者意外跌倒领域的当前研究现状和热点。它还指出了未来研究的方向。本研究可为学者进一步开展相关研究提供理论支持和实践指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3843/11375799/acc9d5ca6bf4/fneur-15-1443799-g001.jpg

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