修正:在多站点医疗保健系统中实现实时排放量预测:纵向观察性研究
Fernando Acosta-Perez1,2, Justin Boutilier1, Gabriel Zayas-Caban1
1Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI, United States.
Journal of medical Internet research
|September 23, 2025
概括
这项研究纠正了先前发表的文章的数字物体标识符 (DOI). 校正确保科学研究的准确引用和检索,以改善可访问性和引用性.
科学领域:
- 图书统计学 图书统计学
- 科学出版 科研出版
- 学术传播学术交流
背景情况:
- 准确的引用对于科学完整性和可重复性至关重要.
- 数字物体识别器 (DOI) 对于独特识别和链接学术文章至关重要.
- 在DOI中的错误可能会阻碍对研究的访问,并影响文献计量分析.
研究的目的:
- 纠正与特定科学出版物相关的错误数字物体标识符 (DOI).
- 确保准确的检索和引用研究文章.
- 维护学术交流和文献计量数据库的完整性.
主要方法:
- 发布了纠正通知,以修改错误的DOI.
- 修正后的DOI在文章的元数据中进行了更新.
- 向相关的索引服务和数据库传播纠正.
主要成果:
- 错误的DOI (10.2196/63765) 已经被纠正.
- 文章现在可以通过正确的DOI准确识别和访问.
- 提高了研究的可发现性和引用准确性.
结论:
- 纠正DOI是保持可靠的科学记录的重要一步.
- 确保DOI准确性支持开放科学和研究透明度的原则.
- 这种纠正促进了正确的归因和科学知识的持续进步.
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