Evidence map›Paper›PMID 33972782›Full record

ReviewNature methods2021

Ultra-high-performance liquid chromatography high-resolution mass spectrometry variants for metabolomics research.

Leonardo Perez de Souza, Saleh Alseekh, Federico Scossa, Alisdair R Fernie

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 133 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
133citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

133 citing papers in PubMed, 1 synthesis or guideline pooled it.

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73 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

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

5 · Who and what money

Authors and funding

4 authors.

Leonardo Perez de SouzaMax Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany. lperez@mpimp-golm.mpg.de.ORCID http://orcid.org/0000-0002-7200-8808
Saleh AlseekhMax Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany.ORCID http://orcid.org/0000-0003-2067-5235
Federico ScossaMax Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany.ORCID http://orcid.org/0000-0002-6233-1679
Alisdair R FernieMax Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany. fernie@mpimp-golm.mpg.de.ORCID http://orcid.org/0000-0001-9000-335X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultra-high-performance liquid chromatography high-resolution mass spectrometry (UHPLC-HRMS) variants currently represent the best tools to tackle the challenges of complexity and lack of comprehensive coverage of the metabolome. UHPLC offers flexible and efficient separation coupled with high-sensitivity detection via HRMS, allowing for the detection and identification of a broad range of metabolites. Here we discuss current common strategies for UHPLC-HRMS-based metabolomics, with a focus on expanding metabolome coverage.

Indexed as

Chromatography, High Pressure LiquidIon Mobility SpectrometryMagnetic Resonance SpectroscopyMass SpectrometryMetabolomicsSolid Phase ExtractionSpectrometry, Mass, Electrospray Ionization

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.