Evidence map›Paper›PMID 21949491›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2011

Quantitative metabolomics based on gas chromatography mass spectrometry: status and perspectives.

Maud M Koek, Renger H Jellema, Jan van der Greef, Albert C Tas, Thomas Hankemeier

Abstract read
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers.

0numbers the graph read from it
0cells of the map it votes in
103citing 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

103 citing papers in PubMed.

  1. Review
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  9. Separative Techniques Coupled to Mass Spectrometry for Metabolomic Analysis.Advances in experimental medicine and biology · 2026
    Review
  10. Article
  11. Review
  12. Article
  13. Dissecting inflammation in the immunemetabolomic era.Cellular and molecular life sciences : CMLS · 2025
    Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Applications of chromatographic methods in metabolomics: A review.Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2024
    Review
  20. Evaluation of normalization strategies for GC-based metabolomics.Metabolomics : Official journal of the Metabolomic Society · 2024
    Article

43 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

5 authors.

Maud M Koek
Renger H Jellema
Jan van der Greef
Albert C Tas
Thomas Hankemeier

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomics involves the unbiased quantitative and qualitative analysis of the complete set of metabolites present in cells, body fluids and tissues (the metabolome). By analyzing differences between metabolomes using biostatistics (multivariate data analysis; pattern recognition), metabolites relevant to a specific phenotypic characteristic can be identified. However, the reliability of the analytical data is a prerequisite for correct biological interpretation in metabolomics analysis. In this review the challenges in quantitative metabolomics analysis with regards to analytical as well as data preprocessing steps are discussed. Recommendations are given on how to optimize and validate comprehensive silylation-based methods from sample extraction and derivatization up to data preprocessing and how to perform quality control during metabolomics studies. The current state of method validation and data preprocessing methods used in published literature are discussed and a perspective on the future research necessary to obtain accurate quantitative data from comprehensive GC-MS data is provided.

Identifiers

PMID21949491
PMCPMC3155681

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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.