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Logical Modeling and Dynamical Analysis of Cellular Networks

Overview of attention for article published in Frontiers in Genetics, May 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

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2 X users
wikipedia
3 Wikipedia pages

Readers on

mendeley
208 Mendeley
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1 CiteULike
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Title
Logical Modeling and Dynamical Analysis of Cellular Networks
Published in
Frontiers in Genetics, May 2016
DOI 10.3389/fgene.2016.00094
Pubmed ID
Authors

Wassim Abou-Jaoudé, Pauline Traynard, Pedro T. Monteiro, Julio Saez-Rodriguez, Tomáš Helikar, Denis Thieffry, Claudine Chaouiya

Abstract

The logical (or logic) formalism is increasingly used to model regulatory and signaling networks. Complementing these applications, several groups contributed various methods and tools to support the definition and analysis of logical models. After an introduction to the logical modeling framework and to several of its variants, we review here a number of recent methodological advances to ease the analysis of large and intricate networks. In particular, we survey approaches to determine model attractors and their reachability properties, to assess the dynamical impact of variations of external signals, and to consistently reduce large models. To illustrate these developments, we further consider several published logical models for two important biological processes, namely the differentiation of T helper cells and the control of mammalian cell cycle.

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 208 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Latvia 1 <1%
Brazil 1 <1%
India 1 <1%
United Kingdom 1 <1%
Mexico 1 <1%
Unknown 202 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 55 26%
Researcher 40 19%
Student > Master 25 12%
Student > Bachelor 20 10%
Professor 9 4%
Other 28 13%
Unknown 31 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 57 27%
Agricultural and Biological Sciences 48 23%
Computer Science 12 6%
Engineering 9 4%
Medicine and Dentistry 9 4%
Other 26 13%
Unknown 47 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 21 May 2020.
All research outputs
#6,305,561
of 22,875,477 outputs
Outputs from Frontiers in Genetics
#1,878
of 11,916 outputs
Outputs of similar age
#101,225
of 338,929 outputs
Outputs of similar age from Frontiers in Genetics
#19
of 67 outputs
Altmetric has tracked 22,875,477 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 11,916 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 83% 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 338,929 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 67 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 71% of its contemporaries.