| Title |
Ensemble softmax regression model for speech emotion recognition
|
|---|---|
| Published in |
Multimedia Tools and Applications, April 2016
|
| DOI | 10.1007/s11042-016-3487-y |
| Authors |
Yaxin Sun, Guihua Wen |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 4 | 13% |
| Student > Ph. D. Student | 4 | 13% |
| Student > Bachelor | 3 | 10% |
| Researcher | 2 | 7% |
| Student > Postgraduate | 2 | 7% |
| Other | 4 | 13% |
| Unknown | 11 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 43% |
| Engineering | 3 | 10% |
| Agricultural and Biological Sciences | 1 | 3% |
| Social Sciences | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 11 | 37% |
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 09 April 2016.
All research outputs
#18,753,159
of 23,906,448 outputs
Outputs from Multimedia Tools and Applications
#1,599
of 4,321 outputs
Outputs of similar age
#210,347
of 303,847 outputs
Outputs of similar age from Multimedia Tools and Applications
#30
of 37 outputs
Altmetric has tracked 23,906,448 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,321 research outputs from this source. They receive a mean Attention Score of 1.3. This one has gotten more attention than average, scoring higher than 61% 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 303,847 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.