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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
6 news outlets
blogs
1 blog
twitter
1 X user

Readers on

mendeley
187 Mendeley
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Article details
Title
Getting priorities straight: Risk assessment and decision-making in the improvement of inherited disorders in pedigree dogs
Published in
Veterinary Journal, July 2011
DOI 10.1016/j.tvjl.2011.06.012
Pubmed ID
Authors
Abstract

The issue of inherited disorders in pedigree dogs is not a recent phenomenon and reports of suspected genetic defects associated with breeding practices date back to Charles Darwin's time. In recent years, much information on the array of inherited defects has been assimilated and the true extent of the problem has come to light. Historically, the direction of research funding in the field of canine genetic disease has been largely influenced by the potential transferability of findings to human medicine, economic benefit and importance of dogs for working purposes. More recently, the argument for a more canine welfare-orientated approach has been made, targeting research efforts at the alleviation of the most suffering in the greatest number of animals. A method of welfare risk assessment was initially developed as a means of objectively comparing, and thus setting priorities for, different welfare problems. The method has been applied to inherited disorders in pedigree dogs to investigate which disorders have the greatest welfare impact and which breeds are most affected. Work in this field has identified 396 inherited disorders in the top 50 most popular breeds in the UK. This article discusses how the results of welfare risk assessment for inherited disorders can be used to develop strategies for improving the health and welfare of dogs in the long term. A new risk assessment criterion, the Breed-Disorder Welfare Impact Score (BDWIS), which takes into account the proportion of life affected by a disorder, is introduced. A set of health and welfare goals is proposed and strategies for achieving these goals are highlighted, along with potential rate-determining factors at each step.

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 187 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 2 1%
Netherlands 1 <1%
Brazil 1 <1%
Belgium 1 <1%
Australia 1 <1%
Unknown 181 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 58 31%
Student > Ph. D. Student 23 12%
Student > Master 21 11%
Researcher 17 9%
Student > Postgraduate 12 6%
Other 20 11%
Unknown 36 19%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 62 33%
Veterinary Science and Veterinary Medicine 39 21%
Medicine and Dentistry 14 7%
Biochemistry, Genetics and Molecular Biology 8 4%
Social Sciences 8 4%
Other 16 9%
Unknown 40 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 54. 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 20 May 2019.
All research outputs
#994,086
of 34,360,889 outputs
Outputs from Veterinary Journal
#52
of 2,738 outputs
Outputs of similar age
#3,436
of 166,993 outputs
Outputs of similar age from Veterinary Journal
#1
of 33 outputs
Altmetric has tracked 34,360,889 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,738 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 98% 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 166,993 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 33 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 96% of its contemporaries.