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A genome-wide association study demonstrates significant genetic variation for fracture risk in Thoroughbred racehorses

Overview of attention for article published in BMC Genomics, January 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
5 tweeters
patent
1 patent
facebook
1 Facebook page

Citations

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21 Dimensions

Readers on

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55 Mendeley
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Title
A genome-wide association study demonstrates significant genetic variation for fracture risk in Thoroughbred racehorses
Published in
BMC Genomics, January 2014
DOI 10.1186/1471-2164-15-147
Pubmed ID
Authors

Sarah C Blott, June E Swinburne, Charlene Sibbons, Laura Y Fox-Clipsham, Maud Helwegen, Lynn Hillyer, Tim DH Parkin, J Newton, Mark Vaudin

Abstract

Thoroughbred racehorses are subject to non-traumatic distal limb bone fractures that occur during racing and exercise. Susceptibility to fracture may be due to underlying disturbances in bone metabolism which have a genetic cause. Fracture risk has been shown to be heritable in several species but this study is the first genetic analysis of fracture risk in the horse.

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 24%
Student > Master 10 18%
Student > Ph. D. Student 7 13%
Student > Bachelor 5 9%
Student > Doctoral Student 3 5%
Other 8 15%
Unknown 9 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 35%
Biochemistry, Genetics and Molecular Biology 9 16%
Veterinary Science and Veterinary Medicine 7 13%
Medicine and Dentistry 4 7%
Computer Science 1 2%
Other 3 5%
Unknown 12 22%
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 July 2019.
All research outputs
#4,451,650
of 22,747,498 outputs
Outputs from BMC Genomics
#1,826
of 10,634 outputs
Outputs of similar age
#53,582
of 305,224 outputs
Outputs of similar age from BMC Genomics
#90
of 447 outputs
Altmetric has tracked 22,747,498 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,634 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 305,224 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 82% of its contemporaries.
We're also able to compare this research output to 447 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.