Identification of oxidative stress-related diagnostic markers and immune infiltration features for idiopathic pulmonary fibrosis by bibliometrics and bioinformatics
- 1Department of Traditional Chinese Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- 2Graduate School, Shaanxi University of Chinese Medicine, Xianyang, China
- 3Acupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu, China
- 4Department of Renal Transplantation, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- 5Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
by Li, C., An, Q., Jin, Y., Jiang, Z., Li, M., Wu, X., and Dang, H. (2024). Front. Med. 11:1356825. doi: 10.3389/fmed.2024.1356825
In the published article, there was an error regarding the affiliation(s) for Chang Li. As well as having affiliation(s) [1], they should also have “Department of Traditional Chinese Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China,” and the latter affiliation is ranked first.
In the published article, there was an error in the article type. Instead of “Review,” the article type should be “Original Research.”
Due to the article type change, a Data availability statement should be added for this article. The Data availability statement appears below.
Data availability statement
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article material.
The authors apologize for these errors and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
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Keywords: oxidative stress, immune infiltration, idiopathic pulmonary fibrosis, bibliometrics, bioinformatics
Citation: Li C, An Q, Jin Y, Jiang Z, Li M, Wu X and Dang H (2024) Corrigendum: Identification of oxidative stress-related diagnostic markers and immune infiltration features for idiopathic pulmonary fibrosis by bibliometrics and bioinformatics. Front. Med. 11:1503195. doi: 10.3389/fmed.2024.1503195
Received: 28 September 2024; Accepted: 01 October 2024;
Published: 16 October 2024.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2024 Li, An, Jin, Jiang, Li, Wu and Dang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Huimin Dang, d2JiLjIzJiN4MDAwNDA7MTYzLmNvbQ==