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Discovery of a Novel Periodontal Disease-Associated Bacterium

Overview of attention for article published in Microbial Ecology, June 2018
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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14 X users
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1 Wikipedia page

Citations

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25 Dimensions

Readers on

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96 Mendeley
Title
Discovery of a Novel Periodontal Disease-Associated Bacterium
Published in
Microbial Ecology, June 2018
DOI 10.1007/s00248-018-1200-6
Pubmed ID
Authors

Pedro J. Torres, John Thompson, Jeffrey S. McLean, Scott T. Kelley, Anna Edlund

Abstract

One of the world's most common infectious disease, periodontitis (PD), derives from largely uncharacterized communities of oral bacteria growing as biofilms (a.k.a. plaque) on teeth and gum surfaces in periodontal pockets. Bacteria associated with periodontal disease trigger inflammatory responses in immune cells, which in later stages of the disease cause loss of both soft and hard tissue structures supporting teeth. Thus far, only a handful of bacteria have been characterized as infectious agents of PD. Although deep sequencing technologies, such as whole community shotgun sequencing have the potential to capture a detailed picture of highly complex bacterial communities in any given environment, we still lack major reference genomes for the oral microbiome associated with PD and other diseases. In recent work, by using a combination of supervised machine learning and genome assembly, we identified a genome from a novel member of the Bacteroidetes phylum in periodontal samples. Here, by applying a comparative metagenomics read-classification approach, including 272 metagenomes from various human body sites, and our previously assembled draft genome of the uncultivated Candidatus Bacteroides periocalifornicus (CBP) bacterium, we show CBP's ubiquitous distribution in dental plaque, as well as its strong association with the well-known pathogenic "red complex" that resides in deep periodontal pockets.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 96 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 17 18%
Student > Bachelor 14 15%
Student > Ph. D. Student 10 10%
Researcher 8 8%
Student > Postgraduate 7 7%
Other 19 20%
Unknown 21 22%
Readers by discipline Count As %
Medicine and Dentistry 19 20%
Unspecified 17 18%
Biochemistry, Genetics and Molecular Biology 13 14%
Agricultural and Biological Sciences 9 9%
Computer Science 3 3%
Other 12 13%
Unknown 23 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 09 October 2019.
All research outputs
#2,912,737
of 23,498,099 outputs
Outputs from Microbial Ecology
#213
of 2,092 outputs
Outputs of similar age
#60,736
of 330,959 outputs
Outputs of similar age from Microbial Ecology
#6
of 39 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,092 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 89% 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 330,959 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.