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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

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Generative Music with Stochastic Diffusion Search
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    Chapter 2 Music with Unconventional Computing: Towards a Step Sequencer from Plasmodium of Physarum Polycephalum
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    Chapter 3 Feature Discovery by Deep Learning for Aesthetic Analysis of Evolved Abstract Images
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    Chapter 4 FuXi: A Fish-Driven Instrument for Real-Time Music Performance
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    Chapter 5 Chorale Music Splicing System: An Algorithmic Music Composer Inspired by Molecular Splicing
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    Chapter 6 Towards an Evolutionary Computational Approach to Articulatory Vocal Synthesis with PRAAT
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    Chapter 7 The Sound Digestive System: A Strategy for Music and Sound Composition
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    Chapter 8 Avoidance Drawings Evolved Using Virtual Drawing Robots
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    Chapter 9 A Genetic Programming Approach to Generating Musical Compositions
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    Chapter 10 AudioInSpace: Exploring the Creative Fusion of Generative Audio, Visuals and Gameplay
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    Chapter 11 Toward Certain Sonic Properties of an Audio Feedback System by Evolutionary Control of Second-Order Structures
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    Chapter 12 Echo
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    Chapter 13 Evotype: Evolutionary Type Design
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    Chapter 14 Interior Illumination Design Using Genetic Programming
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    Chapter 15 Lichtsuchende: Exploring the Emergence of a Cybernetic Society
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    Chapter 16 Automatic Generation of Chord Progressions with an Artificial Immune System
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    Chapter 17 Evolving Diverse Design Populations Using Fitness Sharing and Random Forest Based Fitness Approximation
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    Chapter 18 Moody Music Generator: Characterising Control Parameters Using Crowdsourcing
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    Chapter 19 Schemographe: Application for a New Representation Technique and Methodology of Analysis in Tonal Harmony
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    Chapter 20 Biological Content Generation: Evolving Game Terrains Through Living Organisms
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    Chapter 21 Interpretability of Music Classification as a Criterion for Evolutionary Multi-objective Feature Selection
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    Chapter 22 On the Stylistic Evolution of a Society of Virtual Melody Composers
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    Chapter 23 DrawCompileEvolve: Sparking Interactive Evolutionary Art with Human Creations
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 (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
2 tweeters
facebook
2 Facebook pages
googleplus
1 Google+ user

Readers on

mendeley
14 Mendeley
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Title
Evolutionary and Biologically Inspired Music, Sound, Art and Design
Published by
Lecture notes in computer science, March 2015
DOI 10.1007/978-3-319-16498-4
ISBNs
978-3-31-916497-7, 978-3-31-916498-4
Authors

Colin Johnson, Adrián Carballal, João Correia

Editors

Johnson, Colin, Correia, João, Carballal, Adrian

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 43%
Student > Bachelor 3 21%
Researcher 2 14%
Other 1 7%
Student > Master 1 7%
Other 1 7%
Readers by discipline Count As %
Computer Science 8 57%
Arts and Humanities 2 14%
Engineering 2 14%
Unspecified 1 7%
Unknown 1 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 June 2015.
All research outputs
#3,966,802
of 14,067,100 outputs
Outputs from Lecture notes in computer science
#1,972
of 7,434 outputs
Outputs of similar age
#66,492
of 235,254 outputs
Outputs of similar age from Lecture notes in computer science
#35
of 92 outputs
Altmetric has tracked 14,067,100 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 7,434 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 72% 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 235,254 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 92 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 61% of its contemporaries.