在人工智能在风湿病学中的应用中对文献计量分析的关键指标的估计
Maria Polyzou1,2, Xenofon Baraliakos2
1Department of Pathophysiology, School of Medicine, National and Kapodistrian University of Athens, Laiko General Hospital, Athens, Greece.
Rheumatology advances in practice
|August 5, 2025
概括
风湿病学中的人工智能 (AI) 正在快速增长,少数作者主导着出版物. 图书计量分析显示了与洛特卡和布拉德福德定律的偏差,表明了集中的生产力.
科学领域:
- 类风湿病学 类风湿病学
- 人工智能的人工智能
- 图书统计学 图书统计学
背景情况:
- 人工智能 (AI) 在风湿病学中的应用是一个新兴领域.
- 了解出版趋势和作者生产力对于评估研究影响至关重要.
研究的目的:
- 在风湿病学文献中估计AI应用的关键指标 (2010-2024年).
- 评估洛特卡和布拉德福德定律对该领域的作者生产力的适用性.
主要方法:
- 使用有关关键词构建了一个Scopus数据库,用于类风湿病学中的AI.
- 图书计量指标被计算出来,并应用了洛特卡和布拉德福德的定律.
主要成果:
- 在过去五年中,出版物数量显示出显著的上升趋势.
- 观察到高到中等程度的作者合作.
- 一小群作者制作了不成比例的大量文章.
- 观察到的数据明显偏离了理想的洛特卡分布.
- 出版物分发不符合布拉德福德分发.
结论:
- 人工智能在风湿病学中变得越来越重要,这一点由不断增加的出版物证明.
- 研究生产力集中在少数多产的作者身上.
- 大多数科学家可能会犹不决地参与人工智能在风湿病学中的应用.
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