| Title |
A fuzzy logic approach to reliable real-time recognition of facial emotions
|
|---|---|
| Published in |
Multimedia Tools and Applications, February 2019
|
| DOI | 10.1007/s11042-019-7250-z |
| Authors |
Kiavash Bahreini, Wim van der Vegt, Wim Westera |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 93 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 17 | 18% |
| Student > Ph. D. Student | 11 | 12% |
| Student > Bachelor | 8 | 9% |
| Researcher | 7 | 8% |
| Lecturer | 4 | 4% |
| Other | 12 | 13% |
| Unknown | 34 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 38 | 41% |
| Engineering | 7 | 8% |
| Business, Management and Accounting | 3 | 3% |
| Social Sciences | 3 | 3% |
| Psychology | 2 | 2% |
| Other | 4 | 4% |
| Unknown | 36 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 10 March 2019.
All research outputs
#15,052,229
of 23,906,448 outputs
Outputs from Multimedia Tools and Applications
#872
of 4,321 outputs
Outputs of similar age
#243,163
of 443,403 outputs
Outputs of similar age from Multimedia Tools and Applications
#20
of 28 outputs
Altmetric has tracked 23,906,448 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% 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 done well, scoring higher than 79% 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 443,403 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.