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Mendeley readers
Attention Score in Context
| Chapter title |
Deep Artificial Composer: A Creative Neural Network Model for Automated Melody Generation
|
|---|---|
| Chapter number | 6 |
| Book title |
Computational Intelligence in Music, Sound, Art and Design
|
| Published in |
Lecture notes in computer science, March 2017
|
| DOI | 10.1007/978-3-319-55750-2_6 |
| Book ISBNs |
978-3-31-955749-6, 978-3-31-955750-2
|
| Authors |
Florian Colombo, Alexander Seeholzer, Wulfram Gerstner, Colombo, Florian, Seeholzer, Alexander, Gerstner, Wulfram |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 35% |
| Researcher | 4 | 11% |
| Professor | 3 | 8% |
| Student > Ph. D. Student | 3 | 8% |
| Student > Doctoral Student | 2 | 5% |
| Other | 5 | 14% |
| Unknown | 7 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 54% |
| Arts and Humanities | 4 | 11% |
| Engineering | 2 | 5% |
| Business, Management and Accounting | 1 | 3% |
| Neuroscience | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 8 | 22% |
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 06 July 2017.
All research outputs
#21,880,271
of 24,413,320 outputs
Outputs from Lecture notes in computer science
#7,018
of 8,155 outputs
Outputs of similar age
#275,042
of 313,221 outputs
Outputs of similar age from Lecture notes in computer science
#86
of 100 outputs
Altmetric has tracked 24,413,320 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,155 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. 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 313,221 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 100 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.