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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Deep learning’s shallow gains: a comparative evaluation of algorithms for automatic music generation
|
---|---|
Published in |
Machine Learning, March 2023
|
DOI | 10.1007/s10994-023-06309-w |
Authors |
Zongyu Yin, Federico Reuben, Susan Stepney, Tom Collins |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Colombia | 1 | 13% |
United Kingdom | 1 | 13% |
Unknown | 6 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 75% |
Science communicators (journalists, bloggers, editors) | 1 | 13% |
Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 34 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 12% |
Student > Master | 3 | 9% |
Student > Bachelor | 3 | 9% |
Unspecified | 2 | 6% |
Student > Postgraduate | 2 | 6% |
Other | 6 | 18% |
Unknown | 14 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 10 | 29% |
Engineering | 4 | 12% |
Arts and Humanities | 2 | 6% |
Unspecified | 2 | 6% |
Mathematics | 1 | 3% |
Other | 2 | 6% |
Unknown | 13 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 56. 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 11 August 2023.
All research outputs
#704,808
of 24,248,886 outputs
Outputs from Machine Learning
#8
of 1,051 outputs
Outputs of similar age
#15,179
of 405,318 outputs
Outputs of similar age from Machine Learning
#1
of 35 outputs
Altmetric has tracked 24,248,886 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,051 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 405,318 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 96% of its contemporaries.
We're also able to compare this research output to 35 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.