| Title |
Noise-resistant network: a deep-learning method for face recognition under noise
|
|---|---|
| Published in |
EURASIP Journal on Image and Video Processing, June 2017
|
| DOI | 10.1186/s13640-017-0188-z |
| Authors |
Yuanyuan Ding, Yongbo Cheng, Xiaoliu Cheng, Baoqing Li, Xing You, Xiaobing Yuan |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 43% |
| United Kingdom | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 21% |
| Student > Ph. D. Student | 6 | 16% |
| Student > Bachelor | 3 | 8% |
| Lecturer | 3 | 8% |
| Student > Doctoral Student | 2 | 5% |
| Other | 1 | 3% |
| Unknown | 15 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 37% |
| Engineering | 10 | 26% |
| Decision Sciences | 1 | 3% |
| Unknown | 13 | 34% |
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 03 July 2017.
All research outputs
#8,188,597
of 25,382,440 outputs
Outputs from EURASIP Journal on Image and Video Processing
#51
of 233 outputs
Outputs of similar age
#121,297
of 328,322 outputs
Outputs of similar age from EURASIP Journal on Image and Video Processing
#2
of 11 outputs
Altmetric has tracked 25,382,440 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 233 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done well, scoring higher than 78% 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 328,322 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 62% of its contemporaries.
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 has done well, scoring higher than 81% of its contemporaries.