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Exploration of bacterial community classes in major human habitats

Overview of attention for article published in Genome Biology, May 2014
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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 (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

news
1 news outlet
twitter
26 X users
weibo
1 weibo user
googleplus
1 Google+ user

Citations

dimensions_citation
109 Dimensions

Readers on

mendeley
193 Mendeley
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Title
Exploration of bacterial community classes in major human habitats
Published in
Genome Biology, May 2014
DOI 10.1186/gb-2014-15-5-r66
Pubmed ID
Authors

Yanjiao Zhou, Kathie A Mihindukulasuriya, Hongyu Gao, Patricio S La Rosa, Kristine M Wylie, John C Martin, Karthik Kota, William D Shannon, Makedonka Mitreva, Erica Sodergren, George M Weinstock

Abstract

Determining bacterial abundance variation is the first step in understanding bacterial similarity between individuals. Categorization of bacterial communities into groups or community classes is the subsequent step in describing microbial distribution based on abundance patterns. Here, we present an analysis of the groupings of bacterial communities in stool, nasal, skin, vaginal and oral habitats in a healthy cohort of 236 subjects from the Human Microbiome Project.

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

Geographical breakdown

Country Count As %
United States 3 2%
Germany 2 1%
Sudan 1 <1%
Russia 1 <1%
Belgium 1 <1%
Unknown 185 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 50 26%
Student > Ph. D. Student 37 19%
Student > Bachelor 20 10%
Student > Master 20 10%
Professor 9 5%
Other 19 10%
Unknown 38 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 61 32%
Medicine and Dentistry 25 13%
Biochemistry, Genetics and Molecular Biology 23 12%
Immunology and Microbiology 16 8%
Computer Science 4 2%
Other 17 9%
Unknown 47 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 21 December 2021.
All research outputs
#1,460,927
of 25,706,302 outputs
Outputs from Genome Biology
#1,151
of 4,504 outputs
Outputs of similar age
#14,046
of 242,701 outputs
Outputs of similar age from Genome Biology
#8
of 37 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,504 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 74% 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 242,701 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 94% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.