Erratum to "CNViz:一种R/Shiny应用程序,用于在癌症中进行交互式副本编号变异可视化" [病理信息学期刊第13期,2022,100089]
Rebecca G Ramesh1, Ashkan Bigdeli1, Chase Rushton1
1Center for Personalized Diagnostics, University of Pennsylvania, Philadelphia, PA, USA.
Journal of pathology informatics
|March 24, 2025
概括
这项研究纠正了上一篇文章的DOI. 修正后的数字物体识别器确保了对科学研究的正确引用和访问. 这确保了对所有读者的准确引用.
科学领域:
- 图书统计学 图书统计学
- 科学出版科学出版
- 学术传播学术交流
背景情况:
- 准确的引用对于科学完整性至关重要.
- 数字物体识别器 (DOI) 对于定位研究至关重要.
- 在DOI中的错误可能会阻碍研究的可访问性和影响.
研究的目的:
- 纠正之前发布的数字物体识别符 (DOI).
- 为了确保准确的引用发表在"制药创新杂志"上的文章.
- 提高研究的可发现性和可访问性.
主要方法:
- 在原始出版物中错误的DOI的识别.
- 通过出版商记录验证正确的DOI.
- 向科学界发出纠正通知.
主要成果:
- 与该物品相关的不正确的DOI已被确定.
- 正确的DOI已被验证,现在可以使用.
- 校正确保读者能够准确地访问预期的研究.
结论:
- 对DOI的纠正对于保持学术记录完整性至关重要.
- 准确的DOI可以使科学文献无获取.
- 此修正支持可靠的药品创新研究传播.
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