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Music, Mind, and Embodiment

Overview of attention for book
Cover of 'Music, Mind, and Embodiment'

Table of Contents

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    Book Overview
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    Chapter 1 Comparing the Timing of Movement Events for Air-Drumming Gestures
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    Chapter 2 Assessing the Influence of Constraints on Cellists’ Postural Displacements and Musical Expressivity
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    Chapter 3 Musical Meter, Rhythm and the Moving Body: Designing Methods for the Analysis of Unconstrained Body Movements
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    Chapter 4 Evaluating Input Devices for Dance Research
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    Chapter 5 Estimation of Guitar Fingering and Plucking Controls Based on Multimodal Analysis of Motion, Audio and Musical Score
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    Chapter 6 Analysis of Mimed Violin Performance Movements of Neophytes
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    Chapter 7 Skill Development and Stabilisation of Expertise for Electronic Music Performance
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    Chapter 8 The Hybrid Brain Computer Music Interface - Integrating Brainwave Detection Methods for Extended Control in Musical Performance Systems
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    Chapter 9 Feeling Sound: Exploring a Haptic-Audio Relationship
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    Chapter 10 BOEUF: A Unified Framework for Modeling and Designing Digital Orchestras
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    Chapter 11 Decomposing a Composition: On the Multi-layered Analysis of Expressive Music Performance
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    Chapter 12 3CMS: An Interactive Decision System for Live Performance
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    Chapter 13 A Viewpoint Approach to Symbolic Music Transformation
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    Chapter 14 Balancing Audio: Towards a Cognitive Structure of Sound Interaction in Music Production
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    Chapter 15 Conchord: An Application for Generating Musical Harmony by Navigating in the Tonal Interval Space
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    Chapter 16 Musical Variation and Improvisation Based on Multi-resolution Representations
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    Chapter 17 Music with Unconventional Computing: Granular Synthesis with the Biological Computing Substrate Physarum Polycephalum
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    Chapter 18 Evaluation and Prediction of Harmonic Complexity Across 76 Years of Billboard 100 Hits
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    Chapter 19 Information Rate for Fast Time-Domain Instrument Classification
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    Chapter 20 Escaping from the Abyss of Manual Annotation: New Methodology of Building Polyphonic Datasets for Automatic Music Transcription
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    Chapter 21 Music, Mind, and Embodiment
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    Chapter 22 Modeling Affective Responses to Music Using Audio Signal Analysis and Physiology
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    Chapter 23 A New Look at Musical Expectancy: The Veridical Versus the General in the Mental Organization of Music
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    Chapter 24 Emotional Experiences of Ascending Melodic Lines
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    Chapter 25 $$\sigma $$ GTTM III: Learning-Based Time-Span Tree Generator Based on PCFG
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    Chapter 26 BioComputer Music : Generating Musical Responses with Physarum polycephalum -Based Memristors
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    Chapter 27 ‘Understood at Last’?: A Memetic Analysis of Beethoven’s ‘Bloody Fist’
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    Chapter 28 Music and Dementia: Two Case-Studies
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    Chapter 29 Strictly Rhythm: Exploring the Effects of Identical Regions and Meter Induction in Rhythmic Similarity Perception
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    Chapter 30 Cross-Cultural Comparisons of Unconstrained Body Responses to Argentinian and Afro-Brazilian Music
Overall attention for this book and its chapters
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About this Attention Score

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Mentioned by

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2 X users
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1 Facebook page

Citations

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1 Dimensions

Readers on

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31 Mendeley
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Title
Music, Mind, and Embodiment
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-46282-0
ISBNs
978-3-31-946282-0, 978-3-31-946281-3
Editors

Richard Kronland-Martinet, Mitsuko Aramaki, Sølvi Ystad

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

Geographical breakdown

Country Count As %
Portugal 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 23%
Student > Master 5 16%
Student > Doctoral Student 4 13%
Researcher 3 10%
Student > Bachelor 2 6%
Other 4 13%
Unknown 6 19%
Readers by discipline Count As %
Arts and Humanities 7 23%
Psychology 4 13%
Engineering 4 13%
Computer Science 3 10%
Design 2 6%
Other 4 13%
Unknown 7 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 March 2019.
All research outputs
#14,277,571
of 22,963,381 outputs
Outputs from Lecture notes in computer science
#4,313
of 8,137 outputs
Outputs of similar age
#205,628
of 394,337 outputs
Outputs of similar age from Lecture notes in computer science
#358
of 582 outputs
Altmetric has tracked 22,963,381 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,137 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 46th percentile – i.e., 46% 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 394,337 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 582 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.