| Title |
Quantitative metabolomics based on gas chromatography mass spectrometry: status and perspectives
|
|---|---|
| Published in |
Metabolomics, November 2010
|
| DOI | 10.1007/s11306-010-0254-3 |
| Pubmed ID | |
| Authors |
Maud M. Koek, Renger H. Jellema, Jan van der Greef, Albert C. Tas, Thomas Hankemeier |
| 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. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 593 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 7 | 1% |
| Netherlands | 3 | <1% |
| United States | 3 | <1% |
| South Africa | 2 | <1% |
| India | 2 | <1% |
| Belgium | 2 | <1% |
| Denmark | 2 | <1% |
| United Kingdom | 1 | <1% |
| Slovakia | 1 | <1% |
| Other | 3 | <1% |
| Unknown | 567 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 142 | 24% |
| Researcher | 105 | 18% |
| Student > Master | 82 | 14% |
| Student > Bachelor | 53 | 9% |
| Student > Doctoral Student | 30 | 5% |
| Other | 103 | 17% |
| Unknown | 78 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 167 | 28% |
| Chemistry | 137 | 23% |
| Biochemistry, Genetics and Molecular Biology | 68 | 11% |
| Medicine and Dentistry | 27 | 5% |
| Engineering | 25 | 4% |
| Other | 65 | 11% |
| Unknown | 104 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 August 2023.
All research outputs
#3,100,902
of 24,387,992 outputs
Outputs from Metabolomics
#148
of 1,346 outputs
Outputs of similar age
#11,148
of 90,950 outputs
Outputs of similar age from Metabolomics
#2
of 7 outputs
Altmetric has tracked 24,387,992 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,346 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done well, scoring higher than 88% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 90,950 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.