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X Demographics
Mendeley readers
Attention Score in Context
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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 2 | 67% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
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
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.