纠正"以结构为基础的深度学习解决对接姿势选择:最近的进展,挑战和机遇" [计算机结构生物技术J卷. 23 (2024) 2141-2151] 年的时间
Serena Vittorio1, Filippo Lunghini2, Pietro Morerio3
1Dipartimento di Scienze Farmaceutiche, Università degli Studi di Milano, Via Luigi Mangiagalli 25, I-20133 Milano, Italy.
Computational and structural biotechnology journal
|August 5, 2024
概括
这项研究纠正了先前发表的一篇文章DOI. 校正确保了科学研究的准确引用和引用. 这提高了数据完整性和可复制性在现场.
科学领域:
- 科学出版业的科学出版.
- 学术传播学术交流
背景情况:
- 准确的引用是科学研究的基础.
- 数字物体识别器 (DOI) 确保对学术文章的持续和可靠访问.
- 在DOI中的错误可能会阻碍研究的可复制性和影响跟踪.
研究的目的:
- 纠正一个错误的数字物体标识符 (DOI) 发表的文章.
- 确保科学工作的适当归因和可发现性.
- 维护科学记录的完整性.
主要方法:
- 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:
- 这篇文章的DOI已被更正为10.1016/j.csbj.2024.05.024.024.
- 此更正纠正了之前的引用错误.
- 确保准确链接到文章内容.
结论:
- 准确的DOI对于科学信息的无流动至关重要.
- 校正通知在保持学术数据库准确性方面发挥着至关重要的作用.
- 这确保了研究人员可以可靠地访问和引用科学文献.
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