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ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Raw Files for "Development and Validation of Targeted Metabolomics Methods Using Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS) for the Quantification of 235 Plasma Metabolites"

Authors: Xu, Kangkang;

Raw Files for "Development and Validation of Targeted Metabolomics Methods Using Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS) for the Quantification of 235 Plasma Metabolites"

Abstract

The dataset contains raw data files supporting the paper entitled "Development and validation of targeted metabolomics methods using liquid chromatography-tandem mass spectrometry (LC-MS/MS) for the quantification of 235 plasma metabolites". The data is organized into two separate dataset for both HILIC-MS/MS and RP-MS/MS methods. Each dataset contains 30 samples measured during the applicability test. Those samples were plasma from different sources, including QC porcine plasma (old and new batches), rat plasma, bovine plasma, chicken plasma, human plasma and NIST plasma. Two dilutions of 1:100 and 1:5 (v:v) were employed on each plasma sample except NIST samples that had one additional dilution of 1:400. For more information of sample type, dilution and method, please refer to the two Excel sheets, namely "HILIC_raw_files_list" and "RP_raw_files_list". The provider of plasma, work-up of plasma samples, procedure of applicability test and data processing can be found in "Materials and Methods" of the paper. The DOI for the paper will be linked here upon its publication. 

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average