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Measurement of dietary exposure: a challenging problem which may be overcome thanks to metabolomics?

Overview of attention for article published in Genes & Nutrition, April 2009
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog

Citations

dimensions_citation
70 Dimensions

Readers on

mendeley
96 Mendeley
citeulike
2 CiteULike
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Title
Measurement of dietary exposure: a challenging problem which may be overcome thanks to metabolomics?
Published in
Genes & Nutrition, April 2009
DOI 10.1007/s12263-009-0120-y
Pubmed ID
Authors

Gaëlle Favé, M. E. Beckmann, J. H. Draper, J. C. Mathers

Abstract

The diet is an important environmental exposure, and its measurement is an essential component of much health-related research. However, conventional tools for measuring dietary exposure have significant limitations being subject to an unknown degree of misreporting and dependent upon food composition tables to allow estimation of intakes of energy, nutrients and non-nutrient food constituents. In addition, such tools may be inappropriate for use with certain groups of people. As an alternative approach, the recent techniques of metabolite profiling or fingerprinting, which allows simultaneous monitoring of multiple and dynamic components of biological fluids, may provide metabolic signals indicative of food intake. Samples can be analysed through numerous analytical platforms, followed by multivariate data analysis. In humans, metabolomics has been applied successfully in pharmacology, toxicology and medical screening, but nutritional metabolomics is still in its infancy. Biomarkers of a small number of specific foods and nutrients have been developed successfully but less targeted and more high-throughput methods, that do not need prior knowledge of which signals might be discriminatory, and which may allow a more global characterisation of dietary intake, remain to be tested. A proof a principle project (the MEDE Study) is currently underway in our laboratories to test the hypothesis that high-throughput, non-targeted metabolite fingerprinting using flow injection electrospray mass spectrometry can be applied to human biofluids (blood and urine) to characterise dietary exposure in humans.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 2 2%
United Kingdom 1 1%
Netherlands 1 1%
Spain 1 1%
Unknown 91 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 23%
Student > Ph. D. Student 21 22%
Student > Master 15 16%
Student > Bachelor 8 8%
Student > Postgraduate 7 7%
Other 15 16%
Unknown 8 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 38%
Medicine and Dentistry 12 13%
Chemistry 10 10%
Biochemistry, Genetics and Molecular Biology 7 7%
Nursing and Health Professions 7 7%
Other 13 14%
Unknown 11 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 01 February 2012.
All research outputs
#5,859,626
of 22,707,247 outputs
Outputs from Genes & Nutrition
#113
of 388 outputs
Outputs of similar age
#27,554
of 93,437 outputs
Outputs of similar age from Genes & Nutrition
#3
of 5 outputs
Altmetric has tracked 22,707,247 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 388 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has gotten more attention than average, scoring higher than 70% 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 93,437 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.