| Title |
The use of hidden Markov models to verify the identity based on facial asymmetry
|
|---|---|
| Published in |
EURASIP Journal on Image and Video Processing, July 2017
|
| DOI | 10.1186/s13640-017-0193-2 |
| Authors |
Mariusz Kubanek, Janusz Bobulski |
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 Kingdom | 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 1 | 20% |
| Student > Doctoral Student | 1 | 20% |
| Student > Bachelor | 1 | 20% |
| Researcher | 1 | 20% |
| Professor > Associate Professor | 1 | 20% |
| Other | 0 | 0% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 60% |
| Mathematics | 1 | 20% |
| Engineering | 1 | 20% |
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 04 July 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from EURASIP Journal on Image and Video Processing
#201
of 233 outputs
Outputs of similar age
#285,559
of 326,157 outputs
Outputs of similar age from EURASIP Journal on Image and Video Processing
#9
of 13 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 233 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 326,157 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 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.