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Interpreting Prevotella and Bacteroides as biomarkers of diet and lifestyle

Overview of attention for article published in Microbiome, April 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
33 X users
wikipedia
1 Wikipedia page
reddit
1 Redditor

Citations

dimensions_citation
320 Dimensions

Readers on

mendeley
518 Mendeley
citeulike
2 CiteULike
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Title
Interpreting Prevotella and Bacteroides as biomarkers of diet and lifestyle
Published in
Microbiome, April 2016
DOI 10.1186/s40168-016-0160-7
Pubmed ID
Authors

Anastassia Gorvitovskaia, Susan P. Holmes, Susan M. Huse

Abstract

In a series of studies of the gut microbiome, "enterotypes" have been used to classify gut microbiome samples that cluster together in ordination analyses. Initially, three distinct enterotypes were described, although later studies reduced this to two clusters, one dominated by Bacteroides or Clostridiales species found more commonly in Western (American and Western European) subjects and the other dominated by Prevotella more often associated with non-Western subjects. The two taxa, Bacteroides and Prevotella, have been presumed to represent consistent underlying microbial communities, but no one has demonstrated the presence of additional microbial taxa across studies that can define these communities. We analyzed the combined microbiome data from five previous studies with samples across five continents. We clearly demonstrate that there are no consistent bacterial taxa associated with either Bacteroides- or Prevotella-dominated communities across the studies. By increasing the number and diversity of samples, we found gradients of both Bacteroides and Prevotella and a lack of the distinct clusters in the principal coordinate plots originally proposed in the "enterotypes" hypothesis. The apparent segregation of the samples seen in many ordination plots is due to the differences in the samples' Prevotella and Bacteroides abundances and does not represent consistent microbial communities within the "enterotypes" and is not associated with other taxa across studies. The projections we see are consistent with a continuum of values created from a simple mixture of Bacteroides and Prevotella; these two biomarkers are significantly correlated to the projection axes. We suggest that previous findings citing Bacteroides- and Prevotella-dominated clusters are the result of an artifact caused by the greater relative abundance of these two taxa over other taxa in the human gut and the sparsity of Prevotella abundant samples. We believe that the term "enterotypes" is misleading because it implies both an underlying consistency of community taxa and a clear separation of sets of human gut samples, neither of which is supported by the broader data. We propose the use of "biomarker" as a more accurate description of these and other taxa that correlate with diet, lifestyle, and disease state.

X Demographics

X Demographics

The data shown below were collected from the profiles of 33 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 518 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Argentina 1 <1%
Belgium 1 <1%
Canada 1 <1%
Unknown 515 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 103 20%
Student > Ph. D. Student 99 19%
Student > Bachelor 62 12%
Student > Master 57 11%
Student > Doctoral Student 28 5%
Other 70 14%
Unknown 99 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 121 23%
Biochemistry, Genetics and Molecular Biology 94 18%
Medicine and Dentistry 53 10%
Immunology and Microbiology 47 9%
Engineering 13 3%
Other 69 13%
Unknown 121 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 30 September 2022.
All research outputs
#1,154,059
of 24,950,117 outputs
Outputs from Microbiome
#359
of 1,711 outputs
Outputs of similar age
#19,840
of 307,112 outputs
Outputs of similar age from Microbiome
#2
of 11 outputs
Altmetric has tracked 24,950,117 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,711 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.5. This one has done well, scoring higher than 79% 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 307,112 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 93% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.