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Similarity of the dog and human gut microbiomes in gene content and response to diet

Overview of attention for article published in Microbiome, April 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#11 of 1,002)
  • High Attention Score compared to outputs of the same age (99th percentile)

Mentioned by

news
51 news outlets
blogs
6 blogs
twitter
125 tweeters
facebook
2 Facebook pages
googleplus
1 Google+ user
reddit
2 Redditors

Citations

dimensions_citation
77 Dimensions

Readers on

mendeley
224 Mendeley
citeulike
1 CiteULike
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Title
Similarity of the dog and human gut microbiomes in gene content and response to diet
Published in
Microbiome, April 2018
DOI 10.1186/s40168-018-0450-3
Pubmed ID
Authors

Luis Pedro Coelho, Jens Roat Kultima, Paul Igor Costea, Coralie Fournier, Yuanlong Pan, Gail Czarnecki-Maulden, Matthew Robert Hayward, Sofia K. Forslund, Thomas Sebastian Benedikt Schmidt, Patrick Descombes, Janet R. Jackson, Qinghong Li, Peer Bork

Abstract

Gut microbes influence their hosts in many ways, in particular by modulating the impact of diet. These effects have been studied most extensively in humans and mice. In this work, we used whole genome metagenomics to investigate the relationship between the gut metagenomes of dogs, humans, mice, and pigs. We present a dog gut microbiome gene catalog containing 1,247,405 genes (based on 129 metagenomes and a total of 1.9 terabasepairs of sequencing data). Based on this catalog and taxonomic abundance profiling, we show that the dog microbiome is closer to the human microbiome than the microbiome of either pigs or mice. To investigate this similarity in terms of response to dietary changes, we report on a randomized intervention with two diets (high-protein/low-carbohydrate vs. lower protein/higher carbohydrate). We show that diet has a large and reproducible effect on the dog microbiome, independent of breed or sex. Moreover, the responses were in agreement with those observed in previous human studies. We conclude that findings in dogs may be predictive of human microbiome results. In particular, a novel finding is that overweight or obese dogs experience larger compositional shifts than lean dogs in response to a high-protein diet.

Twitter Demographics

The data shown below were collected from the profiles of 125 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 224 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 224 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 19%
Researcher 41 18%
Student > Master 35 16%
Student > Bachelor 22 10%
Other 12 5%
Other 34 15%
Unknown 38 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 21%
Veterinary Science and Veterinary Medicine 34 15%
Biochemistry, Genetics and Molecular Biology 33 15%
Medicine and Dentistry 14 6%
Immunology and Microbiology 13 6%
Other 35 16%
Unknown 47 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 486. 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 June 2020.
All research outputs
#27,422
of 17,052,219 outputs
Outputs from Microbiome
#11
of 1,002 outputs
Outputs of similar age
#1,018
of 284,542 outputs
Outputs of similar age from Microbiome
#1
of 1 outputs
Altmetric has tracked 17,052,219 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 1,002 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.0. 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 284,542 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them