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Evolutionary and Biologically Inspired Music, Sound, Art and Design

Overview of attention for book
Cover of 'Evolutionary and Biologically Inspired Music, Sound, Art and Design'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Aesthetics, Art, Evolution
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    Chapter 2 Application of an Island Model Genetic Algorithm for a Multi-track Music Segmentation Problem
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    Chapter 3 evoDrummer: Deriving Rhythmic Patterns through Interactive Genetic Algorithms
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    Chapter 4 Darwinian Pianos: Realtime Composition Based on Competitive Evolutionary Process
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    Chapter 5 Finding image features associated with high aesthetic value by machine learning
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    Chapter 6 Aesthetic Measures for Evolutionary Vase Design
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    Chapter 7 Inverse Mapping with Sensitivity Analysis for Partial Selection in Interactive Evolution
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    Chapter 8 Swarmic Sketches and Attention Mechanism
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    Chapter 9 Swarmic Paintings and Colour Attention
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    Chapter 10 Evolving Glitch Art
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    Chapter 11 EvoSpace-Interactive: A Framework to Develop Distributed Collaborative-Interactive Evolutionary Algorithms for Artistic Design
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    Chapter 12 Feature Selection and Novelty in Computational Aesthetics
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    Chapter 13 Biologically–Inspired Motion Pattern Design of Multi–legged Creatures
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    Chapter 14 Decision Chain Encoding: Evolutionary Design Optimization with Complex Constraints
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    Chapter 15 Story Characterization Using Interactive Evolution in a Multi-Agent System
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    Chapter 16 Sentient World: Human-Based Procedural Cartography
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
2 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
6 Mendeley
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Title
Evolutionary and Biologically Inspired Music, Sound, Art and Design
Published by
Lecture notes in computer science, January 2013
DOI 10.1007/978-3-642-36955-1
ISBNs
978-3-64-236954-4, 978-3-64-236955-1
Authors

Penousal Machado, James McDermott, Adrian Carballal

Editors

Machado, Penousal, McDermott, James, Carballal, Adrian

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

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Lecturer 1 17%
Unknown 3 50%
Readers by discipline Count As %
Computer Science 1 17%
Engineering 1 17%
Design 1 17%
Unknown 3 50%
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 July 2021.
All research outputs
#6,307,494
of 22,883,326 outputs
Outputs from Lecture notes in computer science
#2,063
of 8,128 outputs
Outputs of similar age
#67,351
of 281,334 outputs
Outputs of similar age from Lecture notes in computer science
#83
of 315 outputs
Altmetric has tracked 22,883,326 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 8,128 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 74% 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 281,334 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 75% of its contemporaries.
We're also able to compare this research output to 315 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 73% of its contemporaries.