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Searching for "monogenic diabetes" in dogs using a candidate gene approach

Overview of attention for article published in Canine Medicine and Genetics, July 2014
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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 (#41 of 129)
  • High Attention Score compared to outputs of the same age (91st percentile)

Mentioned by

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11 X users
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2 patents
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1 Facebook page
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2 Google+ users

Citations

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8 Dimensions

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11 Mendeley
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Title
Searching for "monogenic diabetes" in dogs using a candidate gene approach
Published in
Canine Medicine and Genetics, July 2014
DOI 10.1186/2052-6687-1-8
Pubmed ID
Authors

Andrea D Short, Angela Holder, Simon Rothwell, Jonathan Massey, Rachel Scholey, Lorna J Kennedy, Brian Catchpole, William ER Ollier

Abstract

Canine diabetes is a common endocrine disorder with an estimated breed-related prevalence ranging from 0.005% to 1.5% in pet dogs. Increased prevalence in some breeds suggests that diabetes in dogs is influenced by genetic factors and similarities between canine and human diabetes phenotypes suggest that the same genes might be associated with disease susceptibility in both species. Between 1-5% of human diabetes cases result from mutations in a single gene, including maturity onset diabetes of the adult (MODY) and neonatal diabetes mellitus (NDM). It is not clear whether monogenic forms of diabetes exist within some dog breeds. Identification of forms of canine monogenic diabetes could help to resolve the heterogeneity of the condition and lead to development of breed-specific genetic tests for diabetes susceptibility. Seventeen dog breeds were screened for single nucleotide polymorphisms (SNPs) in eighteen genes that have been associated with human MODY/NDM. Six SNP associations were found from five genes, with one gene (ZFP57) being associated in two different breeds. Some of the genes that have been associated with susceptibility to MODY and NDM in humans appear to also be associated with canine diabetes, although the limited number of associations identified in this study indicates canine diabetes is a heterogeneous condition and is most likely to be a polygenic trait in most dog breeds.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 18%
Student > Bachelor 1 9%
Professor 1 9%
Student > Master 1 9%
Researcher 1 9%
Other 1 9%
Unknown 4 36%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 3 27%
Agricultural and Biological Sciences 3 27%
Nursing and Health Professions 1 9%
Unknown 4 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 22 February 2024.
All research outputs
#2,202,981
of 25,508,813 outputs
Outputs from Canine Medicine and Genetics
#41
of 129 outputs
Outputs of similar age
#21,378
of 240,540 outputs
Outputs of similar age from Canine Medicine and Genetics
#3
of 4 outputs
Altmetric has tracked 25,508,813 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 129 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 93.2. This one has gotten more attention than average, scoring higher than 68% 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 240,540 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 91% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.