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The methylome of the gut microbiome: disparate Dam methylation patterns in intestinal Bacteroides dorei

Overview of attention for article published in Frontiers in Microbiology, July 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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

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1 news outlet
blogs
1 blog
twitter
6 X users

Citations

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34 Dimensions

Readers on

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122 Mendeley
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Title
The methylome of the gut microbiome: disparate Dam methylation patterns in intestinal Bacteroides dorei
Published in
Frontiers in Microbiology, July 2014
DOI 10.3389/fmicb.2014.00361
Pubmed ID
Authors

Michael T. Leonard, Austin G. Davis-Richardson, Alexandria N. Ardissone, Kaisa M. Kemppainen, Jennifer C. Drew, Jorma Ilonen, Mikael Knip, Olli Simell, Jorma Toppari, Riitta Veijola, Heikki Hyöty, Eric W. Triplett

Abstract

Despite the large interest in the human microbiome in recent years, there are no reports of bacterial DNA methylation in the microbiome. Here metagenomic sequencing using the Pacific Biosciences platform allowed for rapid identification of bacterial GATC methylation status of a bacterial species in human stool samples. For this work, two stool samples were chosen that were dominated by a single species, Bacteroides dorei. Based on 16S rRNA analysis, this species represented over 45% of the bacteria present in these two samples. The B. dorei genome sequence from these samples was determined and the GATC methylation sites mapped. The Bacteroides dorei genome from one subject lacked any GATC methylation and lacked the DNA adenine methyltransferase genes. In contrast, B. dorei from another subject contained 20,551 methylated GATC sites. Of the 4970 open reading frames identified in the GATC methylated B. dorei genome, 3184 genes were methylated as well as 1735 GATC methylations in intergenic regions. These results suggest that DNA methylation patterns are important to consider in multi-omic analyses of microbiome samples seeking to discover the diversity of bacterial functions and may differ between disease states.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Brazil 2 2%
United Kingdom 1 <1%
Finland 1 <1%
Japan 1 <1%
New Zealand 1 <1%
Unknown 112 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 25%
Researcher 25 20%
Student > Master 16 13%
Student > Bachelor 14 11%
Professor 7 6%
Other 19 16%
Unknown 10 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 57 47%
Biochemistry, Genetics and Molecular Biology 24 20%
Medicine and Dentistry 10 8%
Immunology and Microbiology 9 7%
Engineering 5 4%
Other 7 6%
Unknown 10 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 06 May 2016.
All research outputs
#2,045,724
of 25,388,177 outputs
Outputs from Frontiers in Microbiology
#1,424
of 29,286 outputs
Outputs of similar age
#19,025
of 227,256 outputs
Outputs of similar age from Frontiers in Microbiology
#16
of 182 outputs
Altmetric has tracked 25,388,177 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,286 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 95% 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 227,256 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 91% of its contemporaries.
We're also able to compare this research output to 182 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 91% of its contemporaries.