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Biogeography of the ecosystems of the healthy human body

Overview of attention for article published in Genome Biology, January 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

blogs
1 blog
twitter
11 X users
patent
1 patent
facebook
1 Facebook page
wikipedia
2 Wikipedia pages

Readers on

mendeley
331 Mendeley
citeulike
3 CiteULike
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Title
Biogeography of the ecosystems of the healthy human body
Published in
Genome Biology, January 2013
DOI 10.1186/gb-2013-14-1-r1
Pubmed ID
Authors

Yanjiao Zhou, Hongyu Gao, Kathie A Mihindukulasuriya, Patricio S La Rosa, Kristine M Wylie, Tatiana Vishnivetskaya, Mircea Podar, Barb Warner, Phillip I Tarr, David E Nelson, J Dennis Fortenberry, Martin J Holland, Sarah E Burr, William D Shannon, Erica Sodergren, George M Weinstock

Abstract

BACKGROUND: Characterizing the biogeography of the microbiome of healthy humans is essential for understanding microbial associated diseases. Previous studies mainly focused on a single body habitat from a limited set of subjects. Here, we analyzed one of the largest microbiome datasets to date and generated a biogeographical map that annotates the biodiversity, spatial relationships, and temporal stability of 22 habitats from 279 healthy humans. RESULTS: We identified 929 genera from more than 24 million 16S rRNA gene sequences of 22 habitats, and we provide a baseline of inter-subject variation for healthy adults. The oral habitat has the most stable microbiota with the highest alpha diversity, while the skin and vaginal microbiota are less stable and show lower alpha diversity. The level of biodiversity in one habitat is independent of the biodiversity of other habitats in the same individual. The abundances of a given genus at a body site in which it dominates do not correlate with the abundances at body sites where it is not dominant. Additionally, we observed the human microbiota exhibit both cosmopolitan and endemic features. Finally, comparing datasets of different projects revealed a project-based clustering pattern, emphasizing the significance of standardization of metagenomic studies. CONCLUSIONS: The data presented here extend the definition of the human microbiome by providing a more complete and accurate picture of human microbiome biogeography, addressing questions best answered by a large dataset of subjects and body sites that are deeply sampled by sequencing.

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 331 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 2%
Switzerland 1 <1%
Korea, Republic of 1 <1%
Germany 1 <1%
Sweden 1 <1%
Italy 1 <1%
United Kingdom 1 <1%
Israel 1 <1%
Unknown 318 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 67 20%
Student > Ph. D. Student 57 17%
Student > Master 45 14%
Student > Bachelor 27 8%
Student > Doctoral Student 19 6%
Other 57 17%
Unknown 59 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 114 34%
Medicine and Dentistry 45 14%
Biochemistry, Genetics and Molecular Biology 42 13%
Immunology and Microbiology 20 6%
Computer Science 6 2%
Other 40 12%
Unknown 64 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 29 May 2020.
All research outputs
#1,607,492
of 25,373,627 outputs
Outputs from Genome Biology
#1,315
of 4,467 outputs
Outputs of similar age
#14,416
of 292,326 outputs
Outputs of similar age from Genome Biology
#21
of 50 outputs
Altmetric has tracked 25,373,627 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 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 70% 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 292,326 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 95% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.