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Advances in Artificial Life and Evolutionary Computation

Overview of attention for book
Cover of 'Advances in Artificial Life and Evolutionary Computation'

Table of Contents

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    Book Overview
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    Chapter 1 Building Energy Management Through Fault Detection Analysis Using Pattern Recognition Techniques Applied on Residual Neural Networks
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    Chapter 2 Qualitative Particle Swarm Optimization (Q-PSO) for Energy-Efficient Building Designs
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    Chapter 3 Introducing Interactive Evolutionary Computation in Data Clustering
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    Chapter 4 Living Emerging Worlds for Games
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    Chapter 5 Studying the Evolutionary Basis of Emotions Through Adaptive Neuroagents: Preliminary Settings and Results
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    Chapter 6 Approaches to Molecular Communication Between Synthetic Compartments Based on Encapsulated Chemical Oscillators
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    Chapter 7 Multi-objective Parameter Tuning for PSO-based Point Cloud Localization
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    Chapter 8 A Multithreaded Implementation of the Fish School Search Algorithm
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    Chapter 9 Evolutionary Applications to Cellular Automata Models for Volcano Risk Mitigation
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    Chapter 10 On RAF Sets and Autocatalytic Cycles in Random Reaction Networks
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    Chapter 11 Learning Multiple Conflicting Tasks with Artificial Evolution
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    Chapter 12 On Some Properties of Information Theoretical Measures for the Study of Complex Systems
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    Chapter 13 Investigating the Role of Network Topology and Dynamical Regimes on the Dynamics of a Cell Differentiation Model
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    Chapter 14 Molecular Communication Technology: General Considerations on the Use of Synthetic Cells and Some Hints from In Silico Modelling
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    Chapter 15 Examples of the Usage of Infinities and Infinitesimals in Numerical Computations
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    Chapter 16 The Complex Systems Approach to Protocells
Attention for Chapter 10: On RAF Sets and Autocatalytic Cycles in Random Reaction Networks
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About this Attention Score

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

Mentioned by

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2 X users
facebook
1 Facebook page

Citations

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5 Dimensions

Readers on

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10 Mendeley
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Chapter title
On RAF Sets and Autocatalytic Cycles in Random Reaction Networks
Chapter number 10
Book title
Advances in Artificial Life and Evolutionary Computation
Published in
arXiv, February 2015
DOI 10.1007/978-3-319-12745-3_10
Book ISBNs
978-3-31-912744-6, 978-3-31-912745-3
Authors

Alessandro Filisetti, Marco Villani, Chiara Damiani, Alex Graudenzi, Andrea Roli, Wim Hordijk, Roberto Serra, Filisetti, Alessandro, Villani, Marco, Damiani, Chiara, Graudenzi, Alex, Roli, Andrea, Hordijk, Wim, Serra, Roberto

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 30%
Student > Ph. D. Student 2 20%
Researcher 2 20%
Professor 1 10%
Student > Master 1 10%
Other 0 0%
Unknown 1 10%
Readers by discipline Count As %
Mathematics 3 30%
Biochemistry, Genetics and Molecular Biology 1 10%
Computer Science 1 10%
Physics and Astronomy 1 10%
Engineering 1 10%
Other 0 0%
Unknown 3 30%
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 06 February 2015.
All research outputs
#15,309,583
of 22,769,322 outputs
Outputs from arXiv
#373,184
of 934,850 outputs
Outputs of similar age
#209,684
of 352,276 outputs
Outputs of similar age from arXiv
#2,690
of 10,758 outputs
Altmetric has tracked 22,769,322 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 934,850 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 53% 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 352,276 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10,758 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 69% of its contemporaries.