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A genetic bistable switch utilizing nonlinear protein degradation

Overview of attention for article published in Journal of Biological Engineering, December 2012
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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 (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

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3 X users
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2 patents
reddit
1 Redditor

Citations

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35 Dimensions

Readers on

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130 Mendeley
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Title
A genetic bistable switch utilizing nonlinear protein degradation
Published in
Journal of Biological Engineering, December 2012
DOI 10.1186/1754-1611-6-9
Pubmed ID
Authors

Daniel Huang, William J Holtz, Michel M Maharbiz

Abstract

Bistability is a fundamental property in engineered and natural systems, conferring the ability to switch and retain states. Synthetic bistable switches in prokaryotes have mainly utilized transcriptional components in their construction. Using both transcriptional and enzymatic components, creating a hybrid system, allows for wider bistable parameter ranges in a circuit.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
United Kingdom 2 2%
Canada 2 2%
Austria 1 <1%
India 1 <1%
Germany 1 <1%
Spain 1 <1%
Belgium 1 <1%
Unknown 117 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 35%
Researcher 28 22%
Student > Master 15 12%
Student > Bachelor 12 9%
Student > Doctoral Student 6 5%
Other 13 10%
Unknown 11 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 43 33%
Biochemistry, Genetics and Molecular Biology 34 26%
Engineering 16 12%
Computer Science 7 5%
Physics and Astronomy 7 5%
Other 10 8%
Unknown 13 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 August 2017.
All research outputs
#3,913,250
of 22,669,724 outputs
Outputs from Journal of Biological Engineering
#54
of 258 outputs
Outputs of similar age
#40,618
of 277,120 outputs
Outputs of similar age from Journal of Biological Engineering
#7
of 24 outputs
Altmetric has tracked 22,669,724 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 258 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has done well, scoring higher than 77% 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 277,120 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.