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Integrating genome-wide co-association and gene expression to identify putative regulators and predictors of feed efficiency in pigs

Overview of attention for article published in Genetics Selection Evolution, September 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
9 X users

Citations

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27 Dimensions

Readers on

mendeley
49 Mendeley
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Title
Integrating genome-wide co-association and gene expression to identify putative regulators and predictors of feed efficiency in pigs
Published in
Genetics Selection Evolution, September 2019
DOI 10.1186/s12711-019-0490-6
Pubmed ID
Authors

Yuliaxis Ramayo-Caldas, Emilio Mármol-Sánchez, Maria Ballester, Juan Pablo Sánchez, Rayner González-Prendes, Marcel Amills, Raquel Quintanilla

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 20%
Student > Master 9 18%
Student > Ph. D. Student 7 14%
Student > Bachelor 5 10%
Student > Doctoral Student 3 6%
Other 5 10%
Unknown 10 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 29%
Biochemistry, Genetics and Molecular Biology 8 16%
Veterinary Science and Veterinary Medicine 4 8%
Medicine and Dentistry 3 6%
Nursing and Health Professions 1 2%
Other 3 6%
Unknown 16 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 04 September 2019.
All research outputs
#6,233,163
of 25,385,509 outputs
Outputs from Genetics Selection Evolution
#159
of 821 outputs
Outputs of similar age
#101,293
of 350,097 outputs
Outputs of similar age from Genetics Selection Evolution
#3
of 12 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 821 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 80% 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 350,097 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 71% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.