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Emergence of bimodal cell population responses from the interplay between analog single-cell signaling and protein expression noise

Overview of attention for article published in BMC Systems Biology, August 2012
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1 X user

Citations

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Title
Emergence of bimodal cell population responses from the interplay between analog single-cell signaling and protein expression noise
Published in
BMC Systems Biology, August 2012
DOI 10.1186/1752-0509-6-109
Pubmed ID
Authors

Marc R Birtwistle, Jens Rauch, Anatoly Kiyatkin, Edita Aksamitiene, Maciej Dobrzyński, Jan B Hoek, Walter Kolch, Babatunde A Ogunnaike, Boris N Kholodenko

Abstract

Cell-to-cell variability in protein expression can be large, and its propagation through signaling networks affects biological outcomes. Here, we apply deterministic and probabilistic models and biochemical measurements to study how network topologies and cell-to-cell protein abundance variations interact to shape signaling responses.

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 145 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 3 2%
Ireland 2 1%
Japan 2 1%
France 1 <1%
India 1 <1%
Argentina 1 <1%
Portugal 1 <1%
Germany 1 <1%
Other 1 <1%
Unknown 128 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 34%
Researcher 38 26%
Student > Bachelor 9 6%
Professor > Associate Professor 7 5%
Student > Doctoral Student 7 5%
Other 18 12%
Unknown 16 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 54 37%
Biochemistry, Genetics and Molecular Biology 24 17%
Engineering 16 11%
Physics and Astronomy 7 5%
Computer Science 4 3%
Other 18 12%
Unknown 22 15%
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 08 November 2012.
All research outputs
#19,015,492
of 23,577,654 outputs
Outputs from BMC Systems Biology
#833
of 1,139 outputs
Outputs of similar age
#131,143
of 170,604 outputs
Outputs of similar age from BMC Systems Biology
#18
of 25 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,139 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 11th percentile – i.e., 11% 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 170,604 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.