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Performances of Adaptive MultiBLUP, Bayesian regressions, and weighted-GBLUP approaches for genomic predictions in Belgian Blue beef cattle

Overview of attention for article published in BMC Genomics, August 2020
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2 X users

Citations

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23 Mendeley
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Title
Performances of Adaptive MultiBLUP, Bayesian regressions, and weighted-GBLUP approaches for genomic predictions in Belgian Blue beef cattle
Published in
BMC Genomics, August 2020
DOI 10.1186/s12864-020-06921-3
Pubmed ID
Authors

José Luis Gualdrón Duarte, Ann-Stephan Gori, Xavier Hubin, Daniela Lourenco, Carole Charlier, Ignacy Misztal, Tom Druet

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 %
Researcher 4 17%
Student > Doctoral Student 3 13%
Student > Master 3 13%
Student > Bachelor 2 9%
Professor 1 4%
Other 3 13%
Unknown 7 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 39%
Biochemistry, Genetics and Molecular Biology 2 9%
Unspecified 1 4%
Sports and Recreations 1 4%
Engineering 1 4%
Other 0 0%
Unknown 9 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 August 2020.
All research outputs
#18,739,545
of 23,228,787 outputs
Outputs from BMC Genomics
#8,229
of 10,726 outputs
Outputs of similar age
#300,893
of 398,886 outputs
Outputs of similar age from BMC Genomics
#116
of 172 outputs
Altmetric has tracked 23,228,787 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,726 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 398,886 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 172 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.