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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Entropy, Uncertainty, and the Depth of Implicit Knowledge on Musical Creativity: Computational Study of Improvisation in Melody and Rhythm
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, December 2018
|
| DOI | 10.3389/fncom.2018.00097 |
| Pubmed ID | |
| Authors |
Tatsuya Daikoku |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 14% |
| Switzerland | 1 | 14% |
| United States | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
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 > Bachelor | 8 | 24% |
| Student > Master | 5 | 15% |
| Student > Postgraduate | 3 | 9% |
| Student > Ph. D. Student | 3 | 9% |
| Professor | 2 | 6% |
| Other | 5 | 15% |
| Unknown | 8 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 5 | 15% |
| Psychology | 4 | 12% |
| Computer Science | 3 | 9% |
| Social Sciences | 3 | 9% |
| Engineering | 3 | 9% |
| Other | 6 | 18% |
| Unknown | 10 | 29% |
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 15 January 2019.
All research outputs
#7,940,727
of 25,622,179 outputs
Outputs from Frontiers in Computational Neuroscience
#402
of 1,472 outputs
Outputs of similar age
#150,183
of 445,653 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#8
of 26 outputs
Altmetric has tracked 25,622,179 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 1,472 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 72% 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 445,653 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 66% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.