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Computational Methods in Systems Biology

Overview of attention for book
Cover of 'Computational Methods in Systems Biology'

Table of Contents

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    Book Overview
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    Chapter 1 (Mathematical) Logic for Systems Biology (Invited Paper)
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    Chapter 2 Generalized Method of Moments for Stochastic Reaction Networks in Equilibrium
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    Chapter 3 Inference of Delayed Biological Regulatory Networks from Time Series Data
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    Chapter 4 Matching Models Across Abstraction Levels with Gaussian Processes
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    Chapter 5 Target Controllability of Linear Networks
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    Chapter 6 High-Performance Symbolic Parameter Synthesis of Biological Models: A Case Study
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    Chapter 7 Influence Systems vs Reaction Systems
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    Chapter 8 Local Traces: An Over-Approximation of the Behaviour of the Proteins in Rule-Based Models
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    Chapter 9 Bifurcation Analysis of Cardiac Alternans Using \(\delta \) -Decidability
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    Chapter 10 A Stochastic Hybrid Approximation for Chemical Kinetics Based on the Linear Noise Approximation
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    Chapter 11 Autonomous and Adaptive Control of Populations of Bacteria Through Environment Regulation
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    Chapter 12 Parameter Estimation for Reaction Rate Equation Constrained Mixture Models
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    Chapter 13 Normalizing Chemical Reaction Networks by Confluent Structural Simplification
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    Chapter 14 Fast Simulation of Probabilistic Boolean Networks
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    Chapter 15 Formal Quantitative Analysis of Reaction Networks Using Chemical Organisation Theory
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    Chapter 16 Goal-Oriented Reduction of Automata Networks
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    Chapter 17 Hybrid Reductions of Computational Models of Ion Channels Coupled to Cellular Biochemistry
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    Chapter 18 Formal Modeling and Analysis of Pancreatic Cancer Microenvironment
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    Chapter 19 ASSA-PBN 2.0: A Software Tool for Probabilistic Boolean Networks
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    Chapter 20 E-Cyanobacterium.org: A Web-Based Platform for Systems Biology of Cyanobacteria
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    Chapter 21 PREMER: Parallel Reverse Engineering of Biological Networks with Information Theory
Attention for Chapter 21: PREMER: Parallel Reverse Engineering of Biological Networks with Information Theory
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Mentioned by

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1 X user

Citations

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6 Dimensions

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7 Mendeley
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Chapter title
PREMER: Parallel Reverse Engineering of Biological Networks with Information Theory
Chapter number 21
Book title
Computational Methods in Systems Biology
Published in
Lecture notes in computer science, September 2016
DOI 10.1007/978-3-319-45177-0_21
Book ISBNs
978-3-31-945176-3, 978-3-31-945177-0
Authors

Alejandro F. Villaverde, Kolja Becker, Julio R. Banga

Editors

Ezio Bartocci, Pietro Lio, Nicola Paoletti

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 14%
Ghana 1 14%
Unknown 5 71%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 2 29%
Student > Ph. D. Student 1 14%
Librarian 1 14%
Researcher 1 14%
Student > Master 1 14%
Other 0 0%
Unknown 1 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 29%
Engineering 2 29%
Medicine and Dentistry 1 14%
Biochemistry, Genetics and Molecular Biology 1 14%
Unknown 1 14%
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 08 September 2016.
All research outputs
#15,383,207
of 22,886,568 outputs
Outputs from Lecture notes in computer science
#4,648
of 8,127 outputs
Outputs of similar age
#214,446
of 336,136 outputs
Outputs of similar age from Lecture notes in computer science
#266
of 491 outputs
Altmetric has tracked 22,886,568 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% 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 336,136 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 491 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.