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Invariants and Other Structural Properties of Biochemical Models as a Constraint Satisfaction Problem

Overview of attention for article published in Algorithms for Molecular Biology, May 2012
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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1 Google+ user

Citations

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16 Dimensions

Readers on

mendeley
17 Mendeley
citeulike
4 CiteULike
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Title
Invariants and Other Structural Properties of Biochemical Models as a Constraint Satisfaction Problem
Published in
Algorithms for Molecular Biology, May 2012
DOI 10.1186/1748-7188-7-15
Pubmed ID
Authors

Sylvain Soliman

Abstract

We present a way to compute the minimal semi-positive invariants of a Petri net representing a biological reaction system, as resolution of a Constraint Satisfaction Problem. The use of Petri nets to manipulate Systems Biology models and make available a variety of tools is quite old, and recently analyses based on invariant computation for biological models have become more and more frequent, for instance in the context of module decomposition.

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 6%
New Zealand 1 6%
United States 1 6%
Brazil 1 6%
Unknown 13 76%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 35%
Researcher 5 29%
Professor 1 6%
Student > Bachelor 1 6%
Student > Doctoral Student 1 6%
Other 3 18%
Readers by discipline Count As %
Computer Science 7 41%
Agricultural and Biological Sciences 5 29%
Biochemistry, Genetics and Molecular Biology 2 12%
Physics and Astronomy 1 6%
Engineering 1 6%
Other 0 0%
Unknown 1 6%

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 02 July 2012.
All research outputs
#7,801,210
of 12,434,464 outputs
Outputs from Algorithms for Molecular Biology
#99
of 181 outputs
Outputs of similar age
#66,705
of 119,613 outputs
Outputs of similar age from Algorithms for Molecular Biology
#1
of 3 outputs
Altmetric has tracked 12,434,464 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 181 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 39th percentile – i.e., 39% 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 119,613 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them