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Mathematics and Computation in Music

Overview of attention for book
Cover of 'Mathematics and Computation in Music'

Table of Contents

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    Book Overview
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    Chapter 1 Contrapuntal Aspects of the Mystic Chord and Scriabin’s Piano Sonata No. 5
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    Chapter 2 ComMute—Towards a Computational Musical Theory of Everything
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    Chapter 3 Groupoids and Wreath Products of Musical Transformations: A Categorical Approach from poly-Klumpenhouwer Networks
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    Chapter 4 Fourier Phase and Pitch-Class Sum
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    Chapter 6 Tropical Generalized Interval Systems
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    Chapter 7 Shall We (Math and) Dance?
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    Chapter 8 Decontextualizing Contextual Inversion
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    Chapter 9 From Schritte and Wechsel to Coxeter Groups
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    Chapter 11 Embedded Structural Modes: Unifying Scale Degrees and Harmonic Functions
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    Chapter 12 Non-Contextual JQZ Transformations
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    Chapter 13 The Hierarchy of Rameau Groups
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    Chapter 14 Distant Neighbors and Interscalar Contiguities
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    Chapter 18 Synesthesizer: Physical Modelling and Machine Learning for a Color-Based Synthesizer in Virtual Reality
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    Chapter 21 Reinterpreting and Extending Anatol Vieru’s Periodic Sequences Through the Cellular Automata Formalisms
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    Chapter 23 Autocorrelation of Pitch-Event Vectors in Meter Finding
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    Chapter 27 Visualizing Temperaments: Squaring the Circle?
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    Chapter 30 Formalization of Voice-Leadings and the Nabla Algorithm
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    Chapter 31 Computational Music Therapy
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    Chapter 32 Insiders’ Choice: Studying Pitch Class Sets Through Their Discrete Fourier Transformations
Attention for Chapter 7: Shall We (Math and) Dance?
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Mentioned by

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1 tweeter

Citations

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1 Dimensions

Readers on

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11 Mendeley
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Chapter title
Shall We (Math and) Dance?
Chapter number 7
Book title
Mathematics and Computation in Music
Published in
arXiv, May 2019
DOI 10.1007/978-3-030-21392-3_7
Book ISBNs
978-3-03-021391-6, 978-3-03-021392-3
Authors

Maria Mannone, Luca Turchet

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 1 9%
Other 1 9%
Professor 1 9%
Student > Ph. D. Student 1 9%
Student > Master 1 9%
Other 2 18%
Unknown 4 36%
Readers by discipline Count As %
Computer Science 2 18%
Mathematics 2 18%
Arts and Humanities 1 9%
Sports and Recreations 1 9%
Social Sciences 1 9%
Other 0 0%
Unknown 4 36%

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 01 January 2020.
All research outputs
#14,577,127
of 16,525,952 outputs
Outputs from arXiv
#476,304
of 659,252 outputs
Outputs of similar age
#227,368
of 271,251 outputs
Outputs of similar age from arXiv
#20,163
of 28,781 outputs
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So far Altmetric has tracked 659,252 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 1st percentile – i.e., 1% 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 271,251 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28,781 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.