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Agent-based modeling of competence phenotype switching in Bacillus subtilis

Overview of attention for article published in Theoretical Biology and Medical Modelling, April 2013
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Title
Agent-based modeling of competence phenotype switching in Bacillus subtilis
Published in
Theoretical Biology and Medical Modelling, April 2013
DOI 10.1186/1742-4682-10-23
Pubmed ID
Authors

Suzy M Stiegelmeyer, Morgan C Giddings

Abstract

It is a fascinating phenomenon that in genetically identical bacteria populations of Bacillus subtilis, a distinct DNA uptake phenotype called the competence phenotype may emerge in 10-20% of the population. Many aspects of the phenomenon are believed to be due to the variable expression of critical genes: a stochastic occurrence termed "noise" which has made the phenomenon difficult to examine directly by lab experimentation.

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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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Portugal 1 2%
Germany 1 2%
Unknown 50 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 24%
Researcher 11 20%
Student > Master 9 17%
Student > Bachelor 7 13%
Student > Doctoral Student 3 6%
Other 8 15%
Unknown 3 6%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 28%
Agricultural and Biological Sciences 9 17%
Computer Science 4 7%
Engineering 4 7%
Arts and Humanities 4 7%
Other 10 19%
Unknown 8 15%
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 08 April 2013.
All research outputs
#15,268,549
of 22,705,019 outputs
Outputs from Theoretical Biology and Medical Modelling
#170
of 287 outputs
Outputs of similar age
#124,906
of 199,814 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#8
of 10 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 287 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 27th percentile – i.e., 27% 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 199,814 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 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.