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Pathogenic functions of host microbiota

Overview of attention for article published in Microbiome, September 2018
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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 (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

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1 blog
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49 X users
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1 Facebook page

Citations

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71 Dimensions

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186 Mendeley
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Title
Pathogenic functions of host microbiota
Published in
Microbiome, September 2018
DOI 10.1186/s40168-018-0542-0
Pubmed ID
Authors

Silke Rath, Tatjana Rud, André Karch, Dietmar Helmut Pieper, Marius Vital

Abstract

It is becoming evident that certain features of human microbiota, encoded by distinct autochthonous taxa, promote disease. As a result, borders between the so-called opportunistic pathogens, pathobionts, and commensals are increasingly blurred, and specific targets for manipulating microbiota to improve host health are becoming elusive. In this study, we focus on the functions of host bacterial communities that have the potential to cause disease, proposing the term "pathogenic function (pathofunction)". The concept is presented via three distinct examples, namely, the formation of (i) trimethylamine, (ii) secondary bile acids, and (iii) hydrogen sulfide, which represent metabolites of the gut microbiota linked to the development of non-communicable diseases. Using publicly available metagenomic and metatranscriptomic data (n = 2975), we quantified those pathofunctions in health and disease and exposed the key players. Pathofunctions were ubiquitously present with increased abundances in patient groups. Overall, the three pathofunctions were detected at low mean concentrations (< 1% of total bacteria carried respective genes) and encompassed various taxa, including uncultured members. We outline how this function-centric approach, where all members of a community exhibiting a particular pathofunction are redundant, can contribute to risk assessment and the development of precision treatment directing gut microbiota to increase host health.

X Demographics

X Demographics

The data shown below were collected from the profiles of 49 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 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 186 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 17%
Student > Bachelor 21 11%
Student > Master 20 11%
Student > Doctoral Student 19 10%
Student > Ph. D. Student 19 10%
Other 23 12%
Unknown 53 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 40 22%
Agricultural and Biological Sciences 34 18%
Immunology and Microbiology 20 11%
Medicine and Dentistry 18 10%
Environmental Science 3 2%
Other 12 6%
Unknown 59 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 33. 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 01 November 2018.
All research outputs
#1,176,892
of 24,859,977 outputs
Outputs from Microbiome
#373
of 1,698 outputs
Outputs of similar age
#25,373
of 347,253 outputs
Outputs of similar age from Microbiome
#14
of 61 outputs
Altmetric has tracked 24,859,977 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 1,698 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.7. This one has done well, scoring higher than 78% 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 347,253 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 61 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.