Issue 10, 2021, Issue in Progress
From the journal:

RSC Advances

Retraction: High-throughput metabolomics identifies serum metabolic signatures in acute kidney injury using LC-MS combined with pattern recognition approach

Laura Fishera  

a Royal Society of Chemistry, Thomas Graham House, Science Park, Milton Road, Cambridge, UK
E-mail: advances-rsc@rsc.org

Abstract

Retraction of ‘High-throughput metabolomics identifies serum metabolic signatures in acute kidney injury using LC-MS combined with pattern recognition approach’ by Hai-Hong Li et al., RSC Adv., 2018, 8, 14838–14847, DOI: 10.1039/C8RA01749B

About
Cited by
Related
Download options Please wait...

Associated articles

Article information

DOI
https://doi.org/10.1039/D1RA90062E
Article type
Retraction
Submitted
25 Jan 2021
Accepted
25 Jan 2021
First published
01 Feb 2021
This article is Open Access
Creative Commons BY license

RSC Adv., 2021,11, 5722-5722

Permissions

Request permissions

Retraction: High-throughput metabolomics identifies serum metabolic signatures in acute kidney injury using LC-MS combined with pattern recognition approach

L. Fisher, RSC Adv., 2021, 11, 5722 DOI: 10.1039/D1RA90062E

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements