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Semi-supervised Ladder Networks for Speech Emotion Recognition

Overview of attention for article published in Machine Intelligence Research, May 2019
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Mentioned by

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1 X user

Citations

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29 Dimensions

Readers on

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48 Mendeley
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

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 15%
Student > Ph. D. Student 7 15%
Lecturer 3 6%
Student > Bachelor 2 4%
Professor 2 4%
Other 7 15%
Unknown 20 42%
Readers by discipline Count As %
Computer Science 15 31%
Engineering 7 15%
Social Sciences 1 2%
Linguistics 1 2%
Medicine and Dentistry 1 2%
Other 1 2%
Unknown 22 46%
Attention Score in Context

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
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
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.