LipidMiner: a software for automated identification and quantification of lipids from multiple liquid chromatography/mass spectrometry data files.

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

Who cites it

5 citing papers in PubMed.

1. Computational mass spectrometry accelerates C = C position-resolved untargeted lipidomics using oxygen attachment dissociation.Communications chemistry · 2022
   Article
2. A Current Encyclopedia of Bioinformatics Tools, Data Formats and Resources for Mass Spectrometry Lipidomics.Metabolites · 2022
   Review
3. Methods of the Analysis of Oxylipins in Biological Samples.Molecules (Basel, Switzerland) · 2020
   Review
4. Accurate mass and retention time library of serum lipids for type 1 diabetes research.Analytical and bioanalytical chemistry · 2019
   Article
5. Tutorial on lipidomics.Analytica chimica acta · 2019
   Review

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

Authors and funding

5 authors.

Funding

Abstract

PubMed holds no abstract for this paper.

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