↓ Skip to main content

Genome-wide association studies with metabolomics

Overview of attention for article published in Genome Medicine, January 2012
Altmetric Badge

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 (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

blogs
1 blog
twitter
4 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
54 Dimensions

Readers on

mendeley
136 Mendeley
citeulike
3 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Genome-wide association studies with metabolomics
Published in
Genome Medicine, January 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.

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 136 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 124 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 26%
Student > Ph. D. Student 32 24%
Student > Master 11 8%
Professor 10 7%
Student > Bachelor 10 7%
Other 33 24%
Unknown 5 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 37%
Biochemistry, Genetics and Molecular Biology 24 18%
Medicine and Dentistry 14 10%
Chemistry 12 9%
Computer Science 8 6%
Other 17 13%
Unknown 11 8%

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
#2,465,383
of 21,332,163 outputs
Outputs from Genome Medicine
#571
of 1,355 outputs
Outputs of similar age
#15,341
of 141,788 outputs
Outputs of similar age from Genome Medicine
#4
of 18 outputs
Altmetric has tracked 21,332,163 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,355 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.9. This one has gotten more attention than average, scoring higher than 57% 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 141,788 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 89% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.