↓ Skip to main content

Streptococcus mutans-derived extracellular matrix in cariogenic oral biofilms

Overview of attention for article published in Frontiers in Cellular and Infection Microbiology, February 2015
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
246 Dimensions

Readers on

mendeley
297 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Streptococcus mutans-derived extracellular matrix in cariogenic oral biofilms
Published in
Frontiers in Cellular and Infection Microbiology, February 2015
DOI 10.3389/fcimb.2015.00010
Pubmed ID
Authors

Marlise I. Klein, Geelsu Hwang, Paulo H. S. Santos, Osvaldo H. Campanella, Hyun Koo

Abstract

Biofilms are highly structured microbial communities that are enmeshed in a self-produced extracellular matrix. Within the complex oral microbiome, Streptococcus mutans is a major producer of extracellular polymeric substances including exopolysaccharides (EPS), eDNA, and lipoteichoic acid (LTA). EPS produced by S. mutans-derived exoenzymes promote local accumulation of microbes on the teeth, while forming a spatially heterogeneous and diffusion-limiting matrix that protects embedded bacteria. The EPS-rich matrix provides mechanical stability/cohesiveness and facilitates the creation of highly acidic microenvironments, which are critical for the pathogenesis of dental caries. In parallel, S. mutans also releases eDNA and LTA, which can contribute with matrix development. eDNA enhances EPS (glucan) synthesis locally, increasing the adhesion of S. mutans to saliva-coated apatitic surfaces and the assembly of highly cohesive biofilms. eDNA and other extracellular substances, acting in concert with EPS, may impact the functional properties of the matrix and the virulence of cariogenic biofilms. Enhanced understanding about the assembly principles of the matrix may lead to efficacious approaches to control biofilm-related diseases.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 297 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Czechia 1 <1%
Canada 1 <1%
Unknown 295 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 47 16%
Student > Bachelor 38 13%
Researcher 27 9%
Student > Ph. D. Student 27 9%
Student > Doctoral Student 16 5%
Other 52 18%
Unknown 90 30%
Readers by discipline Count As %
Medicine and Dentistry 87 29%
Biochemistry, Genetics and Molecular Biology 35 12%
Immunology and Microbiology 26 9%
Agricultural and Biological Sciences 24 8%
Engineering 7 2%
Other 21 7%
Unknown 97 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 March 2015.
All research outputs
#20,264,045
of 22,794,367 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#5,926
of 6,356 outputs
Outputs of similar age
#302,000
of 358,549 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#35
of 47 outputs
Altmetric has tracked 22,794,367 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,356 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 358,549 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.