使用描述性,诊断性,预测性和处方性分析模型探索关节置换的远程康复中引用最多的文献:主题和文献分析分析:主题和文献分析分析
Hua-Ying Chuang1,2,3, Sam Yu-Chieh Ho4, Willy Chou5,6
1Department of Internal Medicine, Chi Mei Medical Center, Tainan, Taiwan.
Medicine
|December 5, 2023
概括
这项研究使用描述性,诊断性,预测性和处方性分析 (DDPP) 分析了引用最多的关节置换 (TJR) 文章的远程康复. 调查结果显示,美国领导研究,以"替代"为主导主题,强调关键词对影响的重要性.
科学领域:
- 对康复医学科学文献的图书统计分析.
- 数据分析模型的应用,用于研究骨科手术的趋势.
背景情况:
- 电话康复是传统身体康复的新兴替代方案.
- 关于全关节置换 (TJR) 的远程康复的研究正在增长.
- 之前没有一项研究使用DDPP模型分析了引用最多的TJR文章.
研究的目的:
- 为了检查TJR的电话康复中最多引用的100篇文章 (T100TJR) 的特点.
- 将描述性,诊断性,预测性和规范性分析 (DDPP) 应用于T100TJR.
主要方法:
- 网络科学核心集合的综合文献搜索到2023年8月2日.
- 基于引用数的T100TJR的识别.
- 使用DDPP和可视化技术分析元数据 (国家,机构,作者,关键词).
主要成果:
- 出版物的持续上升趋势,在2022年达到顶峰.
- 美国是主要的贡献者; 谢尔布鲁克大学和霍克博士是著名的.
- 主题"替代"占主导地位 (89%),引用和关键字突出之间有很强的相关性 (P < .0001).
结论:
- 对TJR的电话康复正在获得显著的研究兴趣,由美国领导.
- "替代"主题的主导地位和引用-关键字相关性强调了战略关键字选择的重要性.
- 推两篇关键的高影响力文章,以深入了解该领域.
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