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Stochastic simulations of minimal cells: the Ribocell model

Overview of attention for article published in BMC Bioinformatics, March 2012
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Title
Stochastic simulations of minimal cells: the Ribocell model
Published in
BMC Bioinformatics, March 2012
DOI 10.1186/1471-2105-13-s4-s10
Pubmed ID
Authors

Fabio Mavelli

Abstract

Over the last two decades, lipid compartments (liposomes, lipid-coated droplets) have been extensively used as in vitro "minimal" cell models. In particular, simple and complex biomolecular reactions have been carried out inside these self-assembled micro- and nano-sized compartments, leading to the synthesis of RNA and functional proteins inside liposomes. Despite this experimental progress, a detailed physical understanding of the underlying dynamics is missing. In particular, the combination of solute compartmentalization, reactivity and stochastic effects has not yet been clarified. A combination of experimental and computational approaches can reveal interesting mechanisms governing the behavior of micro compartmentalized systems, in particular by highlighting the intrinsic stochastic diversity within a population of "synthetic cells".

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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 %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 29%
Researcher 6 21%
Student > Master 5 18%
Student > Bachelor 3 11%
Student > Doctoral Student 2 7%
Other 2 7%
Unknown 2 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 50%
Chemistry 3 11%
Physics and Astronomy 3 11%
Biochemistry, Genetics and Molecular Biology 2 7%
Engineering 2 7%
Other 1 4%
Unknown 3 11%
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 07 November 2012.
All research outputs
#20,172,971
of 22,685,926 outputs
Outputs from BMC Bioinformatics
#6,826
of 7,253 outputs
Outputs of similar age
#145,298
of 160,422 outputs
Outputs of similar age from BMC Bioinformatics
#79
of 82 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,253 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.