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Non-additive QTL mapping of lactation traits in 124,000 cattle reveals novel recessive loci

Overview of attention for article published in Genetics Selection Evolution, January 2022
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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 (70th percentile)

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5 X users

Citations

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8 Dimensions

Readers on

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26 Mendeley
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Title
Non-additive QTL mapping of lactation traits in 124,000 cattle reveals novel recessive loci
Published in
Genetics Selection Evolution, January 2022
DOI 10.1186/s12711-021-00694-3
Pubmed ID
Authors

Edwardo G. M. Reynolds, Thomas Lopdell, Yu Wang, Kathryn M. Tiplady, Chad S. Harland, Thomas J. J. Johnson, Catherine Neeley, Katie Carnie, Richard G. Sherlock, Christine Couldrey, Stephen R. Davis, Bevin L. Harris, Richard J. Spelman, Dorian J. Garrick, Mathew D. Littlejohn

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 35%
Researcher 5 19%
Student > Master 2 8%
Student > Bachelor 1 4%
Other 1 4%
Other 2 8%
Unknown 6 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 42%
Biochemistry, Genetics and Molecular Biology 8 31%
Unknown 7 27%
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 01 February 2022.
All research outputs
#7,037,546
of 23,033,713 outputs
Outputs from Genetics Selection Evolution
#236
of 749 outputs
Outputs of similar age
#158,746
of 502,740 outputs
Outputs of similar age from Genetics Selection Evolution
#6
of 20 outputs
Altmetric has tracked 23,033,713 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 749 research outputs from this source. They receive a mean Attention Score of 4.2. 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 502,740 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 20 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 70% of its contemporaries.