Evidence map›Paper›PMID 35025205›Full record

ArticleAnalytical chemistry2022

Achieving Absolute Molar Lipid Concentrations: A Phospholipidomics Cross-Validation Study.

Harald Schoeny, Evelyn Rampler, Dinh Binh Chu, Anna Schoeberl, Luis Galvez, Markus Blaukopf, Paul Kosma, Gunda Koellensperger

Abstract read
In one paragraph

Article in Analytical chemistry, 2022. 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. Review
  2. Article
  3. Review
  4. Review
  5. Article
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.

Harald SchoenyDepartment of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090 Vienna, Austria.ORCID 0000-0001-8696-481X
Evelyn RamplerDepartment of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090 Vienna, Austria.ORCID 0000-0002-9429-7663
Dinh Binh ChuDepartment of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090 Vienna, Austria.
Anna SchoeberlDepartment of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090 Vienna, Austria.
Luis GalvezDepartment of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090 Vienna, Austria.
Markus BlaukopfDepartment of Chemistry, University of Natural Resources and Life Sciences Vienna, 1190 Vienna, Austria.
Paul KosmaDepartment of Chemistry, University of Natural Resources and Life Sciences Vienna, 1190 Vienna, Austria.ORCID 0000-0001-5342-7161
Gunda KoellenspergerDepartment of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090 Vienna, Austria.ORCID 0000-0002-1460-4919

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Standardization is essential in lipidomics and part of a huge community effort. However, with the still ongoing lack of reference materials, benchmarking quantification is hampered. Here, we propose traceable lipid class quantification as an important layer for the validation of quantitative lipidomics workflows.

Indexed as

LipidomicsPhospholipidsCalibrationChromatography, LiquidMass SpectrometryPhospholipids

Identifiers

PMID35025205
PMCPMC8792901

What OpenQuestion holds

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Registered trials

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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.