↓ Skip to main content

The impact of training on data from genetically-related lines on the accuracy of genomic predictions for feed efficiency traits in pigs

Overview of attention for article published in Genetics Selection Evolution, October 2020
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
23 Mendeley
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
The impact of training on data from genetically-related lines on the accuracy of genomic predictions for feed efficiency traits in pigs
Published in
Genetics Selection Evolution, October 2020
DOI 10.1186/s12711-020-00576-0
Pubmed ID
Authors

Amir Aliakbari, Emilie Delpuech, Yann Labrune, Juliette Riquet, Hélène Gilbert

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 30%
Student > Ph. D. Student 5 22%
Researcher 2 9%
Student > Doctoral Student 1 4%
Student > Bachelor 1 4%
Other 0 0%
Unknown 7 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 52%
Biochemistry, Genetics and Molecular Biology 2 9%
Medicine and Dentistry 1 4%
Unknown 8 35%
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 02 November 2020.
All research outputs
#14,547,373
of 25,387,668 outputs
Outputs from Genetics Selection Evolution
#399
of 821 outputs
Outputs of similar age
#208,096
of 434,919 outputs
Outputs of similar age from Genetics Selection Evolution
#9
of 15 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 821 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 51% 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 434,919 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 51% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.