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An in vitrobiofilm model system maintaining a highly reproducible species and metabolic diversity approaching that of the human oral microbiome

Overview of attention for article published in Microbiome, October 2013
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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 (92nd percentile)

Mentioned by

blogs
2 blogs
twitter
9 X users
patent
1 patent

Citations

dimensions_citation
114 Dimensions

Readers on

mendeley
196 Mendeley
citeulike
2 CiteULike
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Title
An in vitrobiofilm model system maintaining a highly reproducible species and metabolic diversity approaching that of the human oral microbiome
Published in
Microbiome, October 2013
DOI 10.1186/2049-2618-1-25
Pubmed ID
Authors

Anna Edlund, Youngik Yang, Adam P Hall, Lihong Guo, Renate Lux, Xuesong He, Karen E Nelson, Kenneth H Nealson, Shibu Yooseph, Wenyuan Shi, Jeffrey S McLean

Abstract

Our knowledge of microbial diversity in the human oral cavity has vastly expanded during the last two decades of research. However, much of what is known about the behavior of oral species to date derives from pure culture approaches and the studies combining several cultivated species, which likely does not fully reflect their function in complex microbial communities. It has been shown in studies with a limited number of cultivated species that early oral biofilm development occurs in a successional manner and that continuous low pH can lead to an enrichment of aciduric species. Observations that in vitro grown plaque biofilm microcosms can maintain similar pH profiles in response to carbohydrate addition as plaque in vivo suggests a complex microbial community can be established in the laboratory. In light of this, our primary goal was to develop a robust in vitro biofilm-model system from a pooled saliva inoculum in order to study the stability, reproducibility, and development of the oral microbiome, and its dynamic response to environmental changes from the community to the molecular level.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 196 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
Netherlands 1 <1%
Germany 1 <1%
Unknown 189 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 26%
Researcher 35 18%
Student > Master 16 8%
Student > Bachelor 16 8%
Student > Doctoral Student 10 5%
Other 35 18%
Unknown 34 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 30%
Medicine and Dentistry 34 17%
Immunology and Microbiology 18 9%
Biochemistry, Genetics and Molecular Biology 17 9%
Engineering 9 5%
Other 23 12%
Unknown 36 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 02 March 2017.
All research outputs
#1,809,940
of 25,389,532 outputs
Outputs from Microbiome
#679
of 1,754 outputs
Outputs of similar age
#16,278
of 219,963 outputs
Outputs of similar age from Microbiome
#2
of 4 outputs
Altmetric has tracked 25,389,532 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,754 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.3. This one has gotten more attention than average, scoring higher than 61% 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 219,963 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 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.