| Title |
Feature Component-Based Extreme Learning Machines for Finger Vein Recognition
|
|---|---|
| Published in |
Cognitive Computation, March 2014
|
| DOI | 10.1007/s12559-014-9254-3 |
| Authors |
Shan Juan Xie, Sook Yoon, Jucheng Yang, Yu Lu, Dong Sun Park, Bin Zhou |
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 % |
|---|---|---|
| Netherlands | 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 33% |
| Student > Master | 4 | 15% |
| Student > Bachelor | 2 | 7% |
| Unspecified | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 8 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 37% |
| Engineering | 4 | 15% |
| Mathematics | 1 | 4% |
| Unspecified | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 9 | 33% |
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 15 March 2014.
All research outputs
#18,367,612
of 22,749,166 outputs
Outputs from Cognitive Computation
#219
of 411 outputs
Outputs of similar age
#160,901
of 221,158 outputs
Outputs of similar age from Cognitive Computation
#4
of 10 outputs
Altmetric has tracked 22,749,166 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 411 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 3rd percentile – i.e., 3% 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 221,158 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.