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The human microbiome in evolution

Overview of attention for article published in BMC Biology, December 2017
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Mentioned by

news
1 news outlet
blogs
3 blogs
twitter
270 X users
facebook
10 Facebook pages
wikipedia
3 Wikipedia pages
googleplus
1 Google+ user
video
2 YouTube creators

Citations

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257 Dimensions

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820 Mendeley
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Title
The human microbiome in evolution
Published in
BMC Biology, December 2017
DOI 10.1186/s12915-017-0454-7
Pubmed ID
Authors

Emily R. Davenport, Jon G. Sanders, Se Jin Song, Katherine R. Amato, Andrew G. Clark, Rob Knight

Abstract

The trillions of microbes living in the gut-the gut microbiota-play an important role in human biology and disease. While much has been done to explore its diversity, a full understanding of our microbiomes demands an evolutionary perspective. In this review, we compare microbiomes from human populations, placing them in the context of microbes from humanity's near and distant animal relatives. We discuss potential mechanisms to generate host-specific microbiome configurations and the consequences of disrupting those configurations. Finally, we propose that this broader phylogenetic perspective is useful for understanding the mechanisms underlying human-microbiome interactions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 270 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 820 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 820 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 118 14%
Student > Ph. D. Student 114 14%
Student > Master 106 13%
Researcher 95 12%
Student > Doctoral Student 49 6%
Other 113 14%
Unknown 225 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 166 20%
Biochemistry, Genetics and Molecular Biology 150 18%
Immunology and Microbiology 68 8%
Medicine and Dentistry 66 8%
Environmental Science 20 2%
Other 103 13%
Unknown 247 30%