| Title |
EmoNets: Multimodal deep learning approaches for emotion recognition in video
|
|---|---|
| Published in |
Journal on Multimodal User Interfaces, August 2015
|
| DOI | 10.1007/s12193-015-0195-2 |
| Authors |
Samira Ebrahimi Kahou, Xavier Bouthillier, Pascal Lamblin, Caglar Gulcehre, Vincent Michalski, Kishore Konda, Sébastien Jean, Pierre Froumenty, Yann Dauphin, Nicolas Boulanger-Lewandowski, Raul Chandias Ferrari, Mehdi Mirza, David Warde-Farley, Aaron Courville, Pascal Vincent, Roland Memisevic, Christopher Pal, Yoshua Bengio |
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 States | 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 496 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| Switzerland | 1 | <1% |
| France | 1 | <1% |
| Portugal | 1 | <1% |
| Italy | 1 | <1% |
| China | 1 | <1% |
| Spain | 1 | <1% |
| Philippines | 1 | <1% |
| Unknown | 487 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 107 | 22% |
| Student > Ph. D. Student | 101 | 20% |
| Researcher | 56 | 11% |
| Student > Bachelor | 39 | 8% |
| Student > Postgraduate | 20 | 4% |
| Other | 70 | 14% |
| Unknown | 103 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 242 | 49% |
| Engineering | 69 | 14% |
| Psychology | 8 | 2% |
| Social Sciences | 8 | 2% |
| Business, Management and Accounting | 7 | 1% |
| Other | 47 | 9% |
| Unknown | 115 | 23% |
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 01 September 2018.
All research outputs
#7,710,624
of 23,975,976 outputs
Outputs from Journal on Multimodal User Interfaces
#25
of 89 outputs
Outputs of similar age
#87,943
of 269,693 outputs
Outputs of similar age from Journal on Multimodal User Interfaces
#1
of 4 outputs
Altmetric has tracked 23,975,976 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 89 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 71% 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 269,693 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 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them