| Title |
Affective evolutionary music composition with MetaCompose
|
|---|---|
| Published in |
Genetic Programming and Evolvable Machines, June 2017
|
| DOI | 10.1007/s10710-017-9307-y |
| Authors |
Marco Scirea, Julian Togelius, Peter Eklund, Sebastian Risi |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malta | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 23% |
| Student > Bachelor | 12 | 20% |
| Student > Master | 11 | 18% |
| Researcher | 4 | 7% |
| Other | 3 | 5% |
| Other | 8 | 13% |
| Unknown | 8 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 29 | 48% |
| Engineering | 10 | 17% |
| Arts and Humanities | 7 | 12% |
| Agricultural and Biological Sciences | 2 | 3% |
| Psychology | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 8 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 12 July 2021.
All research outputs
#7,410,791
of 23,577,654 outputs
Outputs from Genetic Programming and Evolvable Machines
#35
of 123 outputs
Outputs of similar age
#115,643
of 318,224 outputs
Outputs of similar age from Genetic Programming and Evolvable Machines
#1
of 1 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 123 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 71% 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 318,224 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 63% 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