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Timeline
Attention over time
Attention Score history
Activity
X Demographics
Mendeley demographics
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| Title |
High-Level Analysis of Audio Features for Identifying Emotional Valence in Human Singing
|
|---|---|
| Published by |
Association for Computing Machinery (ACM), September 2018
|
| DOI | 10.1145/3243274.3243313 |
| Authors |
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X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley demographics
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 13% |
| Student > Master | 3 | 13% |
| Student > Ph. D. Student | 1 | 4% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Unknown | 16 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 17% |
| Arts and Humanities | 1 | 4% |
| Psychology | 1 | 4% |
| Engineering | 1 | 4% |
| Unknown | 17 | 71% |