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Applications of metabolomics for understanding the action of peroxisome proliferator-activated receptors (PPARs) in diabetes, obesity and cancer

Overview of attention for article published in Genome Medicine, April 2012
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6 X users

Citations

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Title
Applications of metabolomics for understanding the action of peroxisome proliferator-activated receptors (PPARs) in diabetes, obesity and cancer
Published in
Genome Medicine, April 2012
DOI 10.1186/gm331
Pubmed ID
Authors

Zsuzsanna Ament, Mojgan Masoodi, Julian L Griffin

Abstract

The peroxisome proliferator-activated receptors (PPARs) are a set of three nuclear hormone receptors that together play a key role in regulating metabolism, particularly the switch between the fed and fasted state and the metabolic pathways involving fatty-acid oxidation and lipid metabolism. In addition, they have a number of important developmental and regulatory roles outside metabolism. The PPARs are also potent targets for treating type II diabetes, dyslipidemia and obesity, although a number of individual agonists have also been linked to unwanted side effects, and there is a complex relationship between the PPARs and the development of cancer. This review examines the part that metabolomics, including lipidomics, has played in elucidating the roles PPARs have in regulating systemic metabolism, as well as their role in aspects of drug-induced cancer and xenobiotic metabolism. These studies have defined the role PPARδ plays in regulating fatty-acid oxidation in adipose tissue and the interaction between aging and PPARα in the liver. The potential translational benefits of these approaches include widening the role of PPAR agonists and improved monitoring of drug efficacy.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Malaysia 1 <1%
Netherlands 1 <1%
Argentina 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 97 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 24%
Student > Ph. D. Student 22 21%
Student > Master 11 11%
Student > Doctoral Student 7 7%
Student > Bachelor 7 7%
Other 20 19%
Unknown 11 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 37%
Biochemistry, Genetics and Molecular Biology 15 15%
Medicine and Dentistry 11 11%
Chemistry 9 9%
Business, Management and Accounting 2 2%
Other 13 13%
Unknown 15 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 27 September 2012.
All research outputs
#8,534,528
of 25,371,288 outputs
Outputs from Genome Medicine
#1,248
of 1,585 outputs
Outputs of similar age
#59,166
of 175,005 outputs
Outputs of similar age from Genome Medicine
#21
of 25 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
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 is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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 175,005 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
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 is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.