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Individual Signatures Define Canine Skin Microbiota Composition and Variability

Overview of attention for article published in Frontiers in Veterinary Science, February 2017
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

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1 blog
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26 X users

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67 Mendeley
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Title
Individual Signatures Define Canine Skin Microbiota Composition and Variability
Published in
Frontiers in Veterinary Science, February 2017
DOI 10.3389/fvets.2017.00006
Pubmed ID
Authors

Anna Cuscó, Armand Sánchez, Laura Altet, Lluís Ferrer, Olga Francino

Abstract

Dogs present almost all their skin sites covered by hair, but canine skin disorders are more common in certain skin sites and breeds. The goal of our study is to characterize the composition and variability of the skin microbiota in healthy dogs and to evaluate the effect of the breed, the skin site, and the individual. We have analyzed eight skin sites of nine healthy dogs from three different breeds by massive sequencing of 16S rRNA gene V1-V2 hypervariable regions. The main phyla inhabiting the skin microbiota in healthy dogs are Proteobacteria, Firmicutes, Fusobacteria, Actinobacteria, and Bacteroidetes. Our results suggest that skin microbiota composition pattern is individual specific, with some dogs presenting an even representation of the main phyla and other dogs with only a major phylum. The individual is the main force driving skin microbiota composition and diversity rather than the skin site or the breed. The individual is explaining 45% of the distances among samples, whereas skin site explains 19% and breed 9%. Moreover, analysis of similarities suggests a strong dissimilarity among individuals (R = 0.79, P = 0.001) that is mainly explained by low-abundant species in each dog. Skin site also plays a role: inner pinna presents the highest diversity value, whereas perianal region presents the lowest one and the most differentiated microbiota composition.

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 19%
Student > Bachelor 10 15%
Student > Ph. D. Student 6 9%
Student > Master 4 6%
Student > Doctoral Student 3 4%
Other 13 19%
Unknown 18 27%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 21 31%
Agricultural and Biological Sciences 13 19%
Immunology and Microbiology 5 7%
Biochemistry, Genetics and Molecular Biology 4 6%
Medicine and Dentistry 2 3%
Other 3 4%
Unknown 19 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 08 May 2017.
All research outputs
#1,702,597
of 24,885,505 outputs
Outputs from Frontiers in Veterinary Science
#318
of 7,680 outputs
Outputs of similar age
#36,108
of 430,698 outputs
Outputs of similar age from Frontiers in Veterinary Science
#5
of 47 outputs
Altmetric has tracked 24,885,505 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,680 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done particularly well, scoring higher than 95% 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 430,698 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 47 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 91% of its contemporaries.