Mass spectrometry-based metabolomics: a guide for annotation, quantification and best reporting practices
Nature Methods, ISSN: 1548-7105, Vol: 18, Issue: 7, Page: 747-756
2021
- 578Citations
- 1,114Captures
- 3Mentions
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations578
- Citation Indexes576
- 576
- CrossRef168
- Clinical Citations1
- PubMed Guidelines1
- Patent Family Citations1
- Patent Families1
- Captures1,114
- Readers1,114
- 1,114
- Mentions3
- News Mentions2
- News2
- References1
- Wikipedia1
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Review Description
Mass spectrometry-based metabolomics approaches can enable detection and quantification of many thousands of metabolite features simultaneously. However, compound identification and reliable quantification are greatly complicated owing to the chemical complexity and dynamic range of the metabolome. Simultaneous quantification of many metabolites within complex mixtures can additionally be complicated by ion suppression, fragmentation and the presence of isomers. Here we present guidelines covering sample preparation, replication and randomization, quantification, recovery and recombination, ion suppression and peak misidentification, as a means to enable high-quality reporting of liquid chromatography– and gas chromatography–mass spectrometry-based metabolomics-derived data.
Bibliographic Details
Springer Science and Business Media LLC
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