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Genome-wide association studies with metabolomics

Overview of attention for article published in Genome Medicine, April 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

blogs
1 blog
twitter
4 X users
googleplus
1 Google+ user

Citations

dimensions_citation
60 Dimensions

Readers on

mendeley
140 Mendeley
citeulike
3 CiteULike
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Title
Genome-wide association studies with metabolomics
Published in
Genome Medicine, April 2012
DOI 10.1186/gm333
Pubmed ID
Authors

Jerzy Adamski

Abstract

Genome-wide association studies (GWAS) analyze the genetic component of a phenotype or the etiology of a disease. Despite the success of many GWAS, little progress has been made in uncovering the underlying mechanisms for many diseases. The use of metabolomics as a readout of molecular phenotypes has enabled the discovery of previously undetected associations between diseases and signaling and metabolic pathways. In addition, combining GWAS and metabolomic information allows the simultaneous analysis of the genetic and environmental impacts on homeostasis. Most success has been seen in metabolic diseases such as diabetes, obesity and dyslipidemia. Recently, associations between loci such as FADS1, ELOVL2 or SLC16A9 and lipid concentrations have been explained by GWAS with metabolomics. Combining GWAS with metabolomics (mGWAS) provides the robust and quantitative information required for the development of specific diagnostics and targeted drugs. This review discusses the limitations of GWAS and presents examples of how metabolomics can overcome these limitations with the focus on metabolic diseases.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 4%
Germany 2 1%
Malaysia 2 1%
United Kingdom 1 <1%
Japan 1 <1%
Luxembourg 1 <1%
Unknown 128 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 37 26%
Student > Ph. D. Student 34 24%
Student > Master 11 8%
Professor 10 7%
Student > Bachelor 10 7%
Other 32 23%
Unknown 6 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 49 35%
Biochemistry, Genetics and Molecular Biology 26 19%
Medicine and Dentistry 13 9%
Chemistry 12 9%
Computer Science 8 6%
Other 18 13%
Unknown 14 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 15 May 2012.
All research outputs
#3,121,728
of 25,374,917 outputs
Outputs from Genome Medicine
#704
of 1,585 outputs
Outputs of similar age
#19,483
of 175,006 outputs
Outputs of similar age from Genome Medicine
#7
of 25 outputs
Altmetric has tracked 25,374,917 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 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has gotten more attention than average, scoring higher than 55% 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 175,006 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 88% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.