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Boolean Networks as Modeling Framework

Overview of attention for article published in Frontiers in Plant Science, January 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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2 X users
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2 Wikipedia pages

Citations

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9 Dimensions

Readers on

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30 Mendeley
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Title
Boolean Networks as Modeling Framework
Published in
Frontiers in Plant Science, January 2012
DOI 10.3389/fpls.2012.00178
Pubmed ID
Authors

Florian Greil

Abstract

In a network, the components of a given system are represented as nodes, the interactions are abstracted as links between the nodes. Boolean networks refer to a class of dynamics on networks, in fact it is the simplest possible dynamics where each node has a value 0 or 1. This allows to investigate extensively the dynamics both analytically and by numerical experiments. The present article focuses on the theoretical concept of relevant components and their immediate application in plant biology. References for more in-depth treatment of the mathematical details are also given.

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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 27%
Student > Ph. D. Student 6 20%
Student > Bachelor 4 13%
Student > Master 4 13%
Professor 3 10%
Other 4 13%
Unknown 1 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 50%
Mathematics 3 10%
Physics and Astronomy 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 5 17%
Unknown 3 10%
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 17 May 2020.
All research outputs
#6,247,941
of 22,675,759 outputs
Outputs from Frontiers in Plant Science
#3,457
of 19,843 outputs
Outputs of similar age
#56,534
of 244,088 outputs
Outputs of similar age from Frontiers in Plant Science
#28
of 195 outputs
Altmetric has tracked 22,675,759 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 19,843 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 82% 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 244,088 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 76% of its contemporaries.
We're also able to compare this research output to 195 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.