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2 X users

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mendeley
55 Mendeley
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Article details
Title
Advances and challenges in logical modeling of cell cycle regulation: perspective for multi-scale, integrative yeast cell models
Published in
FEMS Yeast Research, December 2016
DOI 10.1093/femsyr/fow103
Pubmed ID
Authors
Abstract

The eukaryotic cell cycle is robustly designed, with interacting molecules organized within a definite topology that ensures temporal precision of its phase transitions. Its underlying dynamics are regulated by molecular switches, for which remarkable insights have been provided by genetic and molecular biology efforts. In a number of cases, this information has been made predictive, through computational models. These models have allowed for the identification of novel molecular mechanisms, later validated experimentally. Logical modeling represents one of the youngest approaches to address cell cycle regulation. We summarize the advances that this type of modeling has achieved to reproduce and predict cell cycle dynamics. Furthermore, we present the challenge that this type of modeling is now ready to tackle: its integration with intracellular networks, and its formalisms, to understand cross-talks underlying systems level properties, ultimate aim of multi-scale models.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Russia 1 2%
China 1 2%
Unknown 53 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 13 24%
Researcher 11 20%
Student > Master 8 15%
Other 6 11%
Student > Bachelor 6 11%
Other 5 9%
Unknown 6 11%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 29%
Agricultural and Biological Sciences 13 24%
Computer Science 3 5%
Neuroscience 3 5%
Engineering 3 5%
Other 9 16%
Unknown 8 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 03 May 2017.
All research outputs
#23,543,229
of 33,143,744 outputs
Outputs from FEMS Yeast Research
#1,046
of 1,371 outputs
Outputs of similar age
#303,114
of 449,390 outputs
Outputs of similar age from FEMS Yeast Research
#12
of 19 outputs
Altmetric has tracked 33,143,744 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,371 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 18th percentile – i.e., 18% 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 449,390 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.