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Functional expression of dental plaque microbiota

Overview of attention for article published in Frontiers in Cellular and Infection Microbiology, August 2014
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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Title
Functional expression of dental plaque microbiota
Published in
Frontiers in Cellular and Infection Microbiology, August 2014
DOI 10.3389/fcimb.2014.00108
Pubmed ID
Authors

Scott N. Peterson, Tobias Meissner, Andrew I. Su, Erik Snesrud, Ana C. Ong, Nicholas J. Schork, Walter A. Bretz

Abstract

Dental caries remains a significant public health problem and is considered pandemic worldwide. The prediction of dental caries based on profiling of microbial species involved in disease and equally important, the identification of species conferring dental health has proven more difficult than anticipated due to high interpersonal and geographical variability of dental plaque microbiota. We have used RNA-Seq to perform global gene expression analysis of dental plaque microbiota derived from 19 twin pairs that were either concordant (caries-active or caries-free) or discordant for dental caries. The transcription profiling allowed us to define a functional core microbiota consisting of nearly 60 species. Similarities in gene expression patterns allowed a preliminary assessment of the relative contribution of human genetics, environmental factors and caries phenotype on the microbiota's transcriptome. Correlation analysis of transcription allowed the identification of numerous functional networks, suggesting that inter-personal environmental variables may co-select for groups of genera and species. Analysis of functional role categories allowed the identification of dominant functions expressed by dental plaque biofilm communities, that highlight the biochemical priorities of dental plaque microbes to metabolize diverse sugars and cope with the acid and oxidative stress resulting from sugar fermentation. The wealth of data generated by deep sequencing of expressed transcripts enables a greatly expanded perspective concerning the functional expression of dental plaque microbiota.

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X Demographics

The data shown below were collected from the profiles of 5 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 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Netherlands 2 1%
Malaysia 1 <1%
Unknown 138 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 17%
Researcher 19 13%
Student > Master 19 13%
Student > Bachelor 14 10%
Student > Postgraduate 8 6%
Other 29 20%
Unknown 31 22%
Readers by discipline Count As %
Medicine and Dentistry 38 26%
Agricultural and Biological Sciences 27 19%
Biochemistry, Genetics and Molecular Biology 15 10%
Immunology and Microbiology 8 6%
Chemistry 7 5%
Other 14 10%
Unknown 35 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 August 2014.
All research outputs
#6,771,709
of 22,759,618 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#1,329
of 6,348 outputs
Outputs of similar age
#64,917
of 231,193 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#8
of 30 outputs
Altmetric has tracked 22,759,618 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 6,348 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. 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 231,193 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.