↓ Skip to main content

Hidden hysteresis – population dynamics can obscure gene network dynamics

Overview of attention for article published in Journal of Biological Engineering, June 2013
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
26 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
Hidden hysteresis – population dynamics can obscure gene network dynamics
Published in
Journal of Biological Engineering, June 2013
DOI 10.1186/1754-1611-7-16
Pubmed ID
Authors

Phillip Poisson, Kaustubh D Bhalerao

Abstract

Positive feedback is a common motif in gene regulatory networks. It can be used in synthetic networks as an amplifier to increase the level of gene expression, as well as a nonlinear module to create bistable gene networks that display hysteresis in response to a given stimulus. Using a synthetic positive feedback-based tetracycline sensor in E. coli, we show that the population dynamics of a cell culture has a profound effect on the observed hysteretic response of a population of cells with this synthetic gene circuit.

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

Geographical breakdown

Country Count As %
United Kingdom 2 8%
Spain 1 4%
China 1 4%
Unknown 22 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 27%
Researcher 7 27%
Other 2 8%
Student > Postgraduate 2 8%
Student > Master 2 8%
Other 3 12%
Unknown 3 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 38%
Biochemistry, Genetics and Molecular Biology 4 15%
Engineering 4 15%
Mathematics 1 4%
Physics and Astronomy 1 4%
Other 3 12%
Unknown 3 12%
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 19 March 2014.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from Journal of Biological Engineering
#249
of 308 outputs
Outputs of similar age
#159,125
of 209,141 outputs
Outputs of similar age from Journal of Biological Engineering
#4
of 4 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 308 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one is in the 12th percentile – i.e., 12% 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 209,141 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
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.