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Analysis of a large dataset reveals haplotypes carrying putatively recessive lethal and semi-lethal alleles with pleiotropic effects on economically important traits in beef cattle

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

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#20 of 821)
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
32 X users

Citations

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18 Dimensions

Readers on

mendeley
53 Mendeley
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Title
Analysis of a large dataset reveals haplotypes carrying putatively recessive lethal and semi-lethal alleles with pleiotropic effects on economically important traits in beef cattle
Published in
Genetics Selection Evolution, March 2019
DOI 10.1186/s12711-019-0452-z
Pubmed ID
Authors

Janez Jenko, Matthew C. McClure, Daragh Matthews, Jennifer McClure, Martin Johnsson, Gregor Gorjanc, John M. Hickey

X Demographics

X Demographics

The data shown below were collected from the profiles of 32 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 25%
Student > Master 8 15%
Student > Ph. D. Student 5 9%
Student > Doctoral Student 4 8%
Unspecified 2 4%
Other 8 15%
Unknown 13 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 45%
Biochemistry, Genetics and Molecular Biology 7 13%
Veterinary Science and Veterinary Medicine 4 8%
Medicine and Dentistry 3 6%
Unspecified 2 4%
Other 0 0%
Unknown 13 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 06 February 2022.
All research outputs
#1,810,819
of 25,385,509 outputs
Outputs from Genetics Selection Evolution
#20
of 821 outputs
Outputs of similar age
#41,373
of 366,272 outputs
Outputs of similar age from Genetics Selection Evolution
#1
of 11 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% 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 particularly well, scoring higher than 97% 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 366,272 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.