Evidence map›Paper›PMID 34080229›Full record

ArticleRapid communications in mass spectrometry : RCM2021

Compound-specific stable hydrogen isotope (δ

Matthias Pilecky, Katharina Winter, Leonard I Wassenaar, Martin J Kainz

Open access · hybridAbstract read
In one paragraph

Article in Rapid communications in mass spectrometry : RCM, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Gas chromatography for analysis and estimation ofFrontiers in bioengineering and biotechnology · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Assessment of Compound-Specific Fatty Acid δEnvironmental science & technology · 2022
    Article
  10. Compound-specific stable hydrogen isotope (δRapid communications in mass spectrometry : RCM · 2021
    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

4 authors at 3 institutions in 1 country.

Matthias PileckyWasserCluster Lunz - Biologische Station, Dr. Carl-Kupelwieser Promenade 5, Lunz/See, 3293, Austria.ORCID https://orcid.org/0000-0002-3404-5923
Katharina WinterWasserCluster Lunz - Biologische Station, Dr. Carl-Kupelwieser Promenade 5, Lunz/See, 3293, Austria.
Leonard I WassenaarInternational Atomic Energy Agency, Vienna International Centre, Vienna, 1400, Austria.ORCID https://orcid.org/0000-0001-5532-0771
Martin J KainzWasserCluster Lunz - Biologische Station, Dr. Carl-Kupelwieser Promenade 5, Lunz/See, 3293, Austria.ORCID https://orcid.org/0000-0002-2388-1504
Universität für Weiterbildung Krems · ATInternational Atomic Energy Agency · ATWasser Cluster Lunz · AT

Funding

Austrian Science Fund P-28902-B25Austrian Science Fund FWF P 28902
6 · The paper itself

Abstract

rationaleCompound-specific stable isotope analysis (CSIA) is a powerful tool for a better understanding of trophic transfer of dietary molecules in and across ecosystems. Hydrogen isotope values (δ

methodsHere we demonstrate a new online high-capacity gas chromatography-isotope ratio mass spectrometry technique (

resultsWe show that lipid extracts obtained from aquatic sources, such as biofilms, leaves, invertebrates, or fish muscle tissue, have distinctive δ

conclusionsThe new

Indexed as

AnimalsBiofilmsDeuteriumFatty AcidsFishesFood ChainGas Chromatography-Mass SpectrometryMusclesPlant LeavesDeuteriumFatty Acids

Identifiers

PMID34080229
PMCPMC11478936
OpenAlexW3164699607

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.