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Theory of a microfluidic serial dilution bioreactor for growth of planktonic and biofilm populations

Overview of attention for article published in Journal of Mathematical Biology, July 2015
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Article details
Title
Theory of a microfluidic serial dilution bioreactor for growth of planktonic and biofilm populations
Published in
Journal of Mathematical Biology, July 2015
DOI 10.1007/s00285-015-0913-0
Pubmed ID
Authors
Abstract

We present the theory of a microfluidic bioreactor with a two-compartment growth chamber and periodic serial dilution. In the model, coexisting planktonic and biofilm populations exchange by adsorption and detachment. The criteria for coexistence and global extinction are determined by stability analysis of the global extinction state. Stability analysis yields the operating diagram in terms of the dilution and removal ratios, constrained by the plumbing action of the bioreactor. The special case of equal uptake function and logistic growth is analytically solved and explicit growth curves are plotted. The presented theory is applicable to generic microfluidic bioreactors with discrete growth chambers and periodic dilution at discrete time points. Therefore, the theory is expected to assist the design of microfluidic devices for investigating microbial competition and microbial biofilm growth under serial dilution conditions.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Estonia 1 7%
Unknown 13 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 3 21%
Student > Doctoral Student 2 14%
Student > Bachelor 2 14%
Researcher 1 7%
Professor > Associate Professor 1 7%
Other 0 0%
Unknown 5 36%
Readers by discipline
Readers by discipline Count As %
Chemical Engineering 1 7%
Environmental Science 1 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Mathematics 1 7%
Other 3 21%
Unknown 6 43%
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 03 July 2015.
All research outputs
#20,282,766
of 22,816,807 outputs
Outputs from Journal of Mathematical Biology
#542
of 655 outputs
Outputs of similar age
#219,694
of 263,464 outputs
Outputs of similar age from Journal of Mathematical Biology
#1
of 2 outputs
Altmetric has tracked 22,816,807 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 655 research outputs from this source. They receive a mean Attention Score of 3.7. 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 263,464 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 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them