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Ecology of bacteria in the human gastrointestinal tract—identification of keystone and foundation taxa

Overview of attention for article published in Microbiome, October 2015
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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 (92nd percentile)

Mentioned by

news
1 news outlet
twitter
25 tweeters

Citations

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81 Dimensions

Readers on

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205 Mendeley
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Title
Ecology of bacteria in the human gastrointestinal tract—identification of keystone and foundation taxa
Published in
Microbiome, October 2015
DOI 10.1186/s40168-015-0107-4
Pubmed ID
Authors

Pål Trosvik, Eric Jacques de Muinck

Abstract

Determining ecological roles of community members and the impact of specific taxa on overall biodiversity in the gastrointestinal (GI) microbiota is of fundamental importance. A step towards a systems-level understanding of the GI microbiota is characterization of biotic interactions. Community time series analysis, an approach based on statistical analysis of changing population abundances within a single system over time, is needed in order to say with confidence that one population is affecting the dynamics of another. Here, we characterize biotic interaction structures and define ecological roles of major bacterial groups in four healthy individuals by analysing high-resolution, long-term (>180 days) GI bacterial community time series. Actinobacteria fit the description of a keystone taxon since they are relatively rare, but have a high degree of ecological connectedness, and are positively correlated with diversity both within and between individuals. Bacteriodetes were found to be a foundation taxon in that they are numerically dominant and interact extensively, in particular through positive interactions, with other taxa. Although community structure, diversity and biotic interaction patterns were specific to each individual, we observed a strong tendency towards more intense competition within than between phyla. This is in agreement with Darwin's limiting similarity hypothesis as well as a published biotic interaction model of the GI microbiota based on reverse ecology. Finally, we link temporal enterotype switching to a reciprocal positive interaction between two key genera. In this study, we identified ecological roles of key taxa in the human GI microbiota and compared our time series analysis results with those obtained through a reverse ecology approach, providing further evidence in favour of the limiting similarity hypothesis first put forth by Darwin. Larger longitudinal studies are warranted in order to evaluate the generality of basic ecological concepts as applied to the GI microbiota, but our results provide a starting point for achieving a more profound understanding of the GI microbiota as an ecological system.

Twitter Demographics

The data shown below were collected from the profiles of 25 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 205 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Canada 1 <1%
Finland 1 <1%
Mexico 1 <1%
Ireland 1 <1%
Unknown 199 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 22%
Researcher 42 20%
Student > Master 23 11%
Student > Bachelor 15 7%
Student > Doctoral Student 11 5%
Other 32 16%
Unknown 36 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 72 35%
Biochemistry, Genetics and Molecular Biology 26 13%
Immunology and Microbiology 18 9%
Medicine and Dentistry 16 8%
Environmental Science 7 3%
Other 21 10%
Unknown 45 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 07 January 2021.
All research outputs
#1,145,994
of 19,163,209 outputs
Outputs from Microbiome
#416
of 1,157 outputs
Outputs of similar age
#20,576
of 263,839 outputs
Outputs of similar age from Microbiome
#1
of 2 outputs
Altmetric has tracked 19,163,209 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 1,157 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.1. This one has gotten more attention than average, scoring higher than 64% 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 263,839 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 92% of its contemporaries.
We're also able to compare this research output to 2 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