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Advances in Music Information Retrieval

Overview of attention for book
Cover of 'Advances in Music Information Retrieval'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Indexing Techniques for Non-metric Music Dissimilarity Measures
  3. Altmetric Badge
    Chapter 2 Clustering Driven Cascade Classifiers for Multi-indexing of Polyphonic Music by Instruments
  4. Altmetric Badge
    Chapter 3 Representations of Music in Ranking Rhythmic Hypotheses
  5. Altmetric Badge
    Chapter 4 Mid-level Representations of Musical Audio Signals for Music Information Retrieval
  6. Altmetric Badge
    Chapter 5 Advances in Music Information Retrieval
  7. Altmetric Badge
    Chapter 6 Chord Analysis Using Ensemble Constraints
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    Chapter 7 BREVE: An HMPerceptron-Based Chord Recognition System
  9. Altmetric Badge
    Chapter 8 Analysis of Chord Progression Data
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    Chapter 9 Statistical Music Modeling Aimed at Identification and Alignment
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    Chapter 10 Harmonic and Percussive Sound Separation and Its Application to MIR-Related Tasks
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    Chapter 11 Violin Sound Quality: Expert Judgements and Objective Measurements
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    Chapter 12 Emotion Based MIDI Files Retrieval System
  14. Altmetric Badge
    Chapter 13 On Search for Emotion in Hindusthani Vocal Music
  15. Altmetric Badge
    Chapter 14 Audio Cover Song Identification and Similarity: Background, Approaches, Evaluation, and Beyond
  16. Altmetric Badge
    Chapter 15 Multimodal Aspects of Music Retrieval: Audio, Song Lyrics – and Beyond?
  17. Altmetric Badge
    Chapter 16 Melodic Grouping in Music Information Retrieval: New Methods and Applications
  18. Altmetric Badge
    Chapter 17 Automatic Musical Genre Classification and Artificial Immune Recognition System
Attention for Chapter 5: Advances in Music Information Retrieval
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
58 Mendeley
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Chapter title
Advances in Music Information Retrieval
Chapter number 5
Book title
Advances in Music Information Retrieval
Published in
Studies in Computational Intelligence, April 2016
DOI 10.1007/978-3-642-11674-2_5
Book ISBNs
978-3-64-211673-5, 978-3-64-211674-2
Authors

J. Stephen Downie, Andreas F. Ehmann, Mert Bay, M. Cameron Jones

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 5%
Spain 3 5%
United Kingdom 3 5%
Germany 1 2%
Cuba 1 2%
Tunisia 1 2%
Unknown 46 79%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 34%
Researcher 8 14%
Student > Master 7 12%
Student > Doctoral Student 5 9%
Student > Bachelor 4 7%
Other 8 14%
Unknown 6 10%
Readers by discipline Count As %
Computer Science 36 62%
Engineering 9 16%
Arts and Humanities 3 5%
Linguistics 1 2%
Economics, Econometrics and Finance 1 2%
Other 3 5%
Unknown 5 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 2016.
All research outputs
#8,785,110
of 25,992,468 outputs
Outputs from Studies in Computational Intelligence
#1
of 1 outputs
Outputs of similar age
#116,223
of 316,273 outputs
Outputs of similar age from Studies in Computational Intelligence
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 3.0. This one scored the same or higher as 0 of them.
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 316,273 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 53% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them