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Genomic analysis establishes correlation between growth and laryngeal neuropathy in Thoroughbreds

Overview of attention for article published in BMC Genomics, April 2014
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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 (79th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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5 X users
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1 Wikipedia page

Citations

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40 Dimensions

Readers on

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83 Mendeley
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Title
Genomic analysis establishes correlation between growth and laryngeal neuropathy in Thoroughbreds
Published in
BMC Genomics, April 2014
DOI 10.1186/1471-2164-15-259
Pubmed ID
Authors

Adam R Boyko, Samantha A Brooks, Ashley Behan-Braman, Marta Castelhano, Elizabeth Corey, Kyle C Oliveira, June E Swinburne, Rory J Todhunter, Zhiwu Zhang, Dorothy M Ainsworth, Norman Edward Robinson

Abstract

Equine recurrent laryngeal neuropathy (RLN) is a bilateral mononeuropathy with an unknown pathogenesis that significantly affects performance in Thoroughbreds. A genetic contribution to the pathogenesis of RLN is suggested by the higher prevalence of the condition in offspring of RLN-affected than unaffected stallions. To better understand RLN pathogenesis and its genetic basis, we performed a genome-wide association (GWAS) of 282 RLN-affected and 268 control Thoroughbreds.

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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Mexico 1 1%
France 1 1%
Unknown 79 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 14%
Student > Bachelor 11 13%
Student > Master 10 12%
Researcher 7 8%
Professor > Associate Professor 6 7%
Other 18 22%
Unknown 19 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 25%
Veterinary Science and Veterinary Medicine 19 23%
Biochemistry, Genetics and Molecular Biology 10 12%
Medicine and Dentistry 5 6%
Neuroscience 2 2%
Other 4 5%
Unknown 22 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 15 November 2022.
All research outputs
#4,594,014
of 23,114,117 outputs
Outputs from BMC Genomics
#1,891
of 10,708 outputs
Outputs of similar age
#45,349
of 226,369 outputs
Outputs of similar age from BMC Genomics
#14
of 161 outputs
Altmetric has tracked 23,114,117 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,708 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 82% 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 226,369 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 79% of its contemporaries.
We're also able to compare this research output to 161 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.