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Artificial Intelligence in Music, Sound, Art and Design

Overview of attention for book
Attention for Chapter 9: Understanding Aesthetic Evaluation Using Deep Learning
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
10 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
23 Mendeley
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Chapter title
Understanding Aesthetic Evaluation Using Deep Learning
Chapter number 9
Book title
Artificial Intelligence in Music, Sound, Art and Design
Published in
arXiv, April 2020
DOI 10.1007/978-3-030-43859-3_9
Book ISBNs
978-3-03-043858-6, 978-3-03-043859-3
Authors

Jon McCormack, Andy Lomas, McCormack, Jon, Lomas, Andy

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 %
Student > Ph. D. Student 4 17%
Lecturer 4 17%
Student > Master 3 13%
Researcher 2 9%
Other 1 4%
Other 1 4%
Unknown 8 35%
Readers by discipline Count As %
Computer Science 5 22%
Arts and Humanities 4 17%
Physics and Astronomy 2 9%
Linguistics 1 4%
Psychology 1 4%
Other 3 13%
Unknown 7 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 April 2020.
All research outputs
#6,042,077
of 24,093,053 outputs
Outputs from arXiv
#121,920
of 1,020,419 outputs
Outputs of similar age
#114,350
of 377,206 outputs
Outputs of similar age from arXiv
#4,516
of 30,710 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,020,419 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 87% 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 377,206 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 69% of its contemporaries.
We're also able to compare this research output to 30,710 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.