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Large animal models of rare genetic disorders: sheep as phenotypically relevant models of human genetic disease

Overview of attention for article published in Orphanet Journal of Rare Diseases, September 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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1 blog
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4 X users
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1 Facebook page

Citations

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87 Mendeley
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Title
Large animal models of rare genetic disorders: sheep as phenotypically relevant models of human genetic disease
Published in
Orphanet Journal of Rare Diseases, September 2015
DOI 10.1186/s13023-015-0327-5
Pubmed ID
Authors

Ashish R. Pinnapureddy, Cherie Stayner, John McEwan, Olivia Baddeley, John Forman, Michael R. Eccles

Abstract

Animals that accurately model human disease are invaluable in medical research, allowing a critical understanding of disease mechanisms, and the opportunity to evaluate the effect of therapeutic compounds in pre-clinical studies. Many types of animal models are used world-wide, with the most common being small laboratory animals, such as mice. However, rodents often do not faithfully replicate human disease, despite their predominant use in research. This discordancy is due in part to physiological differences, such as body size and longevity. In contrast, large animal models, including sheep, provide an alternative to mice for biomedical research due to their greater physiological parallels with humans. Completion of the full genome sequences of many species, and the advent of Next Generation Sequencing (NGS) technologies, means it is now feasible to screen large populations of domesticated animals for genetic variants that resemble human genetic diseases, and generate models that more accurately model rare human pathologies. In this review, we discuss the notion of using sheep as large animal models, and their advantages in modelling human genetic disease. We exemplify several existing naturally occurring ovine variants in genes that are orthologous to human disease genes, such as the Cln6 sheep model for Batten disease. These, and other sheep models, have contributed significantly to our understanding of the relevant human disease process, in addition to providing opportunities to trial new therapies in animals with similar body and organ size to humans. Therefore sheep are a significant species with respect to the modelling of rare genetic human disease, which we summarize in this review.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Unknown 85 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 21%
Student > Bachelor 15 17%
Researcher 14 16%
Student > Master 6 7%
Other 5 6%
Other 13 15%
Unknown 16 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 22%
Agricultural and Biological Sciences 18 21%
Medicine and Dentistry 9 10%
Veterinary Science and Veterinary Medicine 5 6%
Psychology 3 3%
Other 10 11%
Unknown 23 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 26 April 2016.
All research outputs
#2,941,798
of 22,826,360 outputs
Outputs from Orphanet Journal of Rare Diseases
#401
of 2,618 outputs
Outputs of similar age
#40,519
of 267,079 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#12
of 42 outputs
Altmetric has tracked 22,826,360 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,618 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has done well, scoring higher than 84% 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 267,079 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 84% of its contemporaries.
We're also able to compare this research output to 42 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 71% of its contemporaries.