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From SNP co-association to RNA co-expression: Novel insights into gene networks for intramuscular fatty acid composition in porcine

Overview of attention for article published in BMC Genomics, March 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

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6 X users
facebook
1 Facebook page

Citations

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42 Dimensions

Readers on

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60 Mendeley
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Title
From SNP co-association to RNA co-expression: Novel insights into gene networks for intramuscular fatty acid composition in porcine
Published in
BMC Genomics, March 2014
DOI 10.1186/1471-2164-15-232
Pubmed ID
Authors

Yuliaxis Ramayo-Caldas, Maria Ballester, Marina RS Fortes, Anna Esteve-Codina, Anna Castelló, Jose L Noguera, Ana I Fernández, Miguel Pérez-Enciso, Antonio Reverter, Josep M Folch

Abstract

Fatty acids (FA) play a critical role in energy homeostasis and metabolic diseases; in the context of livestock species, their profile also impacts on meat quality for healthy human consumption. Molecular pathways controlling lipid metabolism are highly interconnected and are not fully understood. Elucidating these molecular processes will aid technological development towards improvement of pork meat quality and increased knowledge of FA metabolism, underpinning metabolic diseases in humans.

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

Geographical breakdown

Country Count As %
Spain 1 2%
Colombia 1 2%
United States 1 2%
Unknown 57 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 23%
Researcher 14 23%
Student > Master 7 12%
Student > Bachelor 5 8%
Student > Postgraduate 5 8%
Other 8 13%
Unknown 7 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 50%
Biochemistry, Genetics and Molecular Biology 11 18%
Veterinary Science and Veterinary Medicine 4 7%
Medicine and Dentistry 4 7%
Nursing and Health Professions 2 3%
Other 2 3%
Unknown 7 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 18 December 2014.
All research outputs
#8,185,927
of 25,373,627 outputs
Outputs from BMC Genomics
#3,662
of 11,244 outputs
Outputs of similar age
#75,501
of 238,073 outputs
Outputs of similar age from BMC Genomics
#63
of 215 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 67% 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 238,073 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 68% of its contemporaries.
We're also able to compare this research output to 215 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 69% of its contemporaries.