Title |
Semi-supervised Ladder Networks for Speech Emotion Recognition
|
---|---|
Published in |
Machine Intelligence Research, May 2019
|
DOI | 10.1007/s11633-019-1175-x |
Authors |
Jian-Hua Tao, Jian Huang, Ya Li, Zheng Lian, Ming-Yue Niu |
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 % |
---|---|---|
China | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 49 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 7 | 14% |
Student > Ph. D. Student | 7 | 14% |
Lecturer | 3 | 6% |
Student > Bachelor | 2 | 4% |
Professor | 2 | 4% |
Other | 8 | 16% |
Unknown | 20 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 15 | 31% |
Engineering | 7 | 14% |
Unspecified | 1 | 2% |
Social Sciences | 1 | 2% |
Linguistics | 1 | 2% |
Other | 2 | 4% |
Unknown | 22 | 45% |
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 July 2020.
All research outputs
#20,667,544
of 25,385,509 outputs
Outputs from Machine Intelligence Research
#228
of 444 outputs
Outputs of similar age
#278,328
of 363,257 outputs
Outputs of similar age from Machine Intelligence Research
#5
of 11 outputs
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So far Altmetric has tracked 444 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 11 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.