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Transcriptome-based identification of antioxidative gene expression after fish oil supplementation in normo- and dyslipidemic men

Overview of attention for article published in Nutrition & Metabolism, May 2012
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  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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6 X users
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2 Facebook pages

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56 Mendeley
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Title
Transcriptome-based identification of antioxidative gene expression after fish oil supplementation in normo- and dyslipidemic men
Published in
Nutrition & Metabolism, May 2012
DOI 10.1186/1743-7075-9-45
Pubmed ID
Authors

Simone Schmidt, Frank Stahl, Kai-Oliver Mutz, Thomas Scheper, Andreas Hahn, Jan Philipp Schuchardt

Abstract

The beneficial effects of omega-3 polyunsaturated fatty acids (n-3 PUFAs), especially in dyslipidemic subjects with a high risk of cardiovascular disease, are widely described in the literature. A lot of effects of n-3 PUFAs and their oxidized metabolites are triggered by regulating the expression of genes. Currently, it is uncertain if the administration of n-3 PUFAs results in different expression changes of genes related to antioxidative mechanisms in normo- and dyslipidemic subjects, which may partly explain their cardioprotective effects. The aim of this study was to investigate the effects of n-3 PUFA supplementation on expression changes of genes involved in oxidative processes.

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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 2%
Unknown 55 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 23%
Student > Ph. D. Student 7 13%
Student > Master 5 9%
Student > Bachelor 4 7%
Lecturer 4 7%
Other 14 25%
Unknown 9 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 29%
Medicine and Dentistry 8 14%
Biochemistry, Genetics and Molecular Biology 7 13%
Sports and Recreations 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 6 11%
Unknown 14 25%
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 25 February 2014.
All research outputs
#6,795,573
of 24,357,902 outputs
Outputs from Nutrition & Metabolism
#445
of 980 outputs
Outputs of similar age
#45,400
of 167,655 outputs
Outputs of similar age from Nutrition & Metabolism
#9
of 16 outputs
Altmetric has tracked 24,357,902 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 980 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.1. This one has gotten more attention than average, scoring higher than 54% 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 167,655 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 72% of its contemporaries.
We're also able to compare this research output to 16 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 50% of its contemporaries.