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Robust synchronization control scheme of a population of nonlinear stochastic synthetic genetic oscillators under intrinsic and extrinsic molecular noise via quorum sensing

Overview of attention for article published in BMC Systems Biology, October 2012
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Title
Robust synchronization control scheme of a population of nonlinear stochastic synthetic genetic oscillators under intrinsic and extrinsic molecular noise via quorum sensing
Published in
BMC Systems Biology, October 2012
DOI 10.1186/1752-0509-6-136
Pubmed ID
Authors

Bor-Sen Chen, Chih-Yuan Hsu

Abstract

Collective rhythms of gene regulatory networks have been a subject of considerable interest for biologists and theoreticians, in particular the synchronization of dynamic cells mediated by intercellular communication. Synchronization of a population of synthetic genetic oscillators is an important design in practical applications, because such a population distributed over different host cells needs to exploit molecular phenomena simultaneously in order to emerge a biological phenomenon. However, this synchronization may be corrupted by intrinsic kinetic parameter fluctuations and extrinsic environmental molecular noise. Therefore, robust synchronization is an important design topic in nonlinear stochastic coupled synthetic genetic oscillators with intrinsic kinetic parameter fluctuations and extrinsic molecular noise.

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

Geographical breakdown

Country Count As %
Taiwan 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 29%
Researcher 4 14%
Professor > Associate Professor 3 11%
Student > Doctoral Student 2 7%
Student > Master 1 4%
Other 3 11%
Unknown 7 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 25%
Physics and Astronomy 3 11%
Mathematics 2 7%
Biochemistry, Genetics and Molecular Biology 2 7%
Nursing and Health Professions 1 4%
Other 5 18%
Unknown 8 29%
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 01 June 2013.
All research outputs
#22,759,802
of 25,374,647 outputs
Outputs from BMC Systems Biology
#1,004
of 1,132 outputs
Outputs of similar age
#181,374
of 202,006 outputs
Outputs of similar age from BMC Systems Biology
#20
of 21 outputs
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So far Altmetric has tracked 1,132 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.
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