Evidence map›Paper›PMID 33802096›Full record

ArticleMetabolites2021

Benchmarking Non-Targeted Metabolomics Using Yeast-Derived Libraries.

Evelyn Rampler, Gerrit Hermann, Gerlinde Grabmann, Yasin El Abiead, Harald Schoeny, Christoph Baumgartinger, Thomas Köcher, Gunda Koellensperger

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Yeast-based reference materials for quantitative metabolomics.Analytical and bioanalytical chemistry · 2022
    Article
  3. Article
  4. Article
  5. Review
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

8 authors.

Evelyn RamplerDepartment of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Währinger Str. 38, 1090 Vienna, Austria.ORCID 0000-0002-9429-7663
Gerrit HermannDepartment of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Währinger Str. 38, 1090 Vienna, Austria.
Gerlinde GrabmannMetabolomics Core Facility, Vienna BioCenter Core Facilities, Dr.-Bohr-Gasse 3, 1030 Vienna, Austria.ORCID 0000-0002-8733-8981
Yasin El AbieadDepartment of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Währinger Str. 38, 1090 Vienna, Austria.ORCID 0000-0003-4392-7706
Harald SchoenyDepartment of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Währinger Str. 38, 1090 Vienna, Austria.ORCID 0000-0001-8696-481X
Christoph BaumgartingerDepartment of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Währinger Str. 38, 1090 Vienna, Austria.
Thomas KöcherMetabolomics Core Facility, Vienna BioCenter Core Facilities, Dr.-Bohr-Gasse 3, 1030 Vienna, Austria.
Gunda KoellenspergerDepartment of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Währinger Str. 38, 1090 Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-targeted analysis by high-resolution mass spectrometry (HRMS) is an essential discovery tool in metabolomics. To date, standardization and validation remain a challenge. Community-wide accepted cost-effective benchmark materials are lacking. In this work, we propose yeast (

Indexed as

benchmarkingdatabaselibrarylipidsmass spectrometrymetabolitesnon-targeted metabolomicsquality controlyeast

Identifiers

PMID33802096
PMCPMC7998801

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.