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Computational Intelligence in Music, Sound, Art and Design

Overview of attention for book
Cover of 'Computational Intelligence in Music, Sound, Art and Design'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Deep Learning Concepts for Evolutionary Art
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    Chapter 2 Adversarial Evolution and Deep Learning – How Does an Artist Play with Our Visual System?
  4. Altmetric Badge
    Chapter 3 Autonomy, Authenticity, Authorship and Intention in Computer Generated Art
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    Chapter 4 Camera Obscurer: Generative Art for Design Inspiration
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    Chapter 5 Swarm-Based Identification of Animation Key Points from 2D-medialness Maps
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    Chapter 6 Paintings, Polygons and Plant Propagation
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    Chapter 7 Evolutionary Games for Audiovisual Works: Exploring the Demographic Prisoner’s Dilemma
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    Chapter 8 Emojinating: Evolving Emoji Blends
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    Chapter 9 Automatically Generating Engaging Presentation Slide Decks
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    Chapter 10 Tired of Choosing? Just Add Structure and Virtual Reality
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    Chapter 11 EvoChef: Show Me What to Cook! Artificial Evolution of Culinary Arts
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    Chapter 12 Comparing Models for Harmony Prediction in an Interactive Audio Looper
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    Chapter 13 Stochastic Synthesizer Patch Exploration in Edisyn
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    Chapter 14 Evolutionary Multi-objective Training Set Selection of Data Instances and Augmentations for Vocal Detection
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    Chapter 15 Automatic Jazz Melody Composition Through a Learning-Based Genetic Algorithm
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    Chapter 16 Exploring Transfer Functions in Evolved CTRNNs for Music Generation
Attention for Chapter 9: Automatically Generating Engaging Presentation Slide Decks
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
205 X users

Citations

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1 Dimensions

Readers on

mendeley
23 Mendeley
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Chapter title
Automatically Generating Engaging Presentation Slide Decks
Chapter number 9
Book title
Computational Intelligence in Music, Sound, Art and Design
Published in
arXiv, April 2019
DOI 10.1007/978-3-030-16667-0_9
Book ISBNs
978-3-03-016666-3, 978-3-03-016667-0
Authors

Thomas Winters, Kory W. Mathewson, Winters, Thomas, Mathewson, Kory W.

X Demographics

X Demographics

The data shown below were collected from the profiles of 205 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 26%
Student > Ph. D. Student 4 17%
Student > Master 3 13%
Lecturer 2 9%
Professor 1 4%
Other 2 9%
Unknown 5 22%
Readers by discipline Count As %
Computer Science 10 43%
Business, Management and Accounting 1 4%
Agricultural and Biological Sciences 1 4%
Physics and Astronomy 1 4%
Social Sciences 1 4%
Other 2 9%
Unknown 7 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 137. 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 14 April 2023.
All research outputs
#305,957
of 25,626,416 outputs
Outputs from arXiv
#3,417
of 932,671 outputs
Outputs of similar age
#6,497
of 364,231 outputs
Outputs of similar age from arXiv
#84
of 21,450 outputs
Altmetric has tracked 25,626,416 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 932,671 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 99% 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 364,231 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 21,450 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.