| Title |
Research on iris image encryption based on deep learning
|
|---|---|
| Published in |
EURASIP Journal on Image and Video Processing, November 2018
|
| DOI | 10.1186/s13640-018-0358-7 |
| Authors |
Xiulai Li, Yirui Jiang, Mingrui Chen, Fang Li |
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 % |
|---|---|---|
| France | 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 14% |
| Researcher | 4 | 11% |
| Lecturer | 2 | 6% |
| Lecturer > Senior Lecturer | 2 | 6% |
| Student > Doctoral Student | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 18 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 31% |
| Engineering | 3 | 8% |
| Mathematics | 2 | 6% |
| Decision Sciences | 1 | 3% |
| Unknown | 19 | 53% |
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 18 November 2018.
All research outputs
#20,663,600
of 25,385,509 outputs
Outputs from EURASIP Journal on Image and Video Processing
#163
of 233 outputs
Outputs of similar age
#263,489
of 336,950 outputs
Outputs of similar age from EURASIP Journal on Image and Video Processing
#7
of 12 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 233 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 14th percentile – i.e., 14% 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 336,950 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 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.