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A Deletion in the Canine POMC Gene Is Associated with Weight and Appetite in Obesity-Prone Labrador Retriever Dogs

Overview of attention for article published in Cell Metabolism (Science Direct), May 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 2,176)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Citations

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Readers on

mendeley
194 Mendeley
citeulike
1 CiteULike
Title
A Deletion in the Canine POMC Gene Is Associated with Weight and Appetite in Obesity-Prone Labrador Retriever Dogs
Published in
Cell Metabolism (Science Direct), May 2016
DOI 10.1016/j.cmet.2016.04.012
Pubmed ID
Authors

Eleanor Raffan, Rowena J. Dennis, Conor J. O’Donovan, Julia M. Becker, Robert A. Scott, Stephen P. Smith, David J. Withers, Claire J. Wood, Elena Conci, Dylan N. Clements, Kim M. Summers, Alexander J. German, Cathryn S. Mellersh, Maja L. Arendt, Valentine P. Iyemere, Elaine Withers, Josefin Söder, Sara Wernersson, Göran Andersson, Kerstin Lindblad-Toh, Giles S.H. Yeo, Stephen O’Rahilly

Abstract

Sequencing of candidate genes for obesity in Labrador retriever dogs identified a 14 bp deletion in pro-opiomelanocortin (POMC) with an allele frequency of 12%. The deletion disrupts the β-MSH and β-endorphin coding sequences and is associated with body weight (per allele effect of 0.33 SD), adiposity, and greater food motivation. Among other dog breeds, the deletion was only found in the closely related flat-coat retriever (FCR), where it is similarly associated with body weight and food motivation. The mutation is significantly more common in Labrador retrievers selected to become assistance dogs than pets. In conclusion, the deletion in POMC is a significant modifier of weight and appetite in Labrador retrievers and FCRs and may influence other behavioral traits.

Twitter Demographics

The data shown below were collected from the profiles of 177 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Denmark 1 <1%
France 1 <1%
Switzerland 1 <1%
Portugal 1 <1%
Finland 1 <1%
Qatar 1 <1%
United States 1 <1%
Hungary 1 <1%
Other 0 0%
Unknown 184 95%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 35 18%
Other 30 15%
Student > Ph. D. Student 29 15%
Student > Master 25 13%
Researcher 24 12%
Other 51 26%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 45 23%
Agricultural and Biological Sciences 44 23%
Biochemistry, Genetics and Molecular Biology 34 18%
Unspecified 27 14%
Medicine and Dentistry 22 11%
Other 22 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 1717. 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 August 2019.
All research outputs
#1,139
of 13,516,269 outputs
Outputs from Cell Metabolism (Science Direct)
#4
of 2,176 outputs
Outputs of similar age
#42
of 261,084 outputs
Outputs of similar age from Cell Metabolism (Science Direct)
#1
of 69 outputs
Altmetric has tracked 13,516,269 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,176 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 50.3. This one has done particularly well, scoring higher than 99% 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 261,084 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 99% of its contemporaries.
We're also able to compare this research output to 69 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 98% of its contemporaries.