| Title |
Gesture Recognition Based on BP Neural Network Improved by Chaotic Genetic Algorithm
|
|---|---|
| Published in |
Machine Intelligence Research, January 2018
|
| DOI | 10.1007/s11633-017-1107-6 |
| Authors |
Dong-Jie Li, Yang-Yang Li, Jun-Xiang Li, Yu Fu |
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 % |
|---|---|---|
| China | 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 5% |
| Other | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Professor | 1 | 5% |
| Student > Ph. D. Student | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 13 | 65% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 20% |
| Unspecified | 1 | 5% |
| Computer Science | 1 | 5% |
| Mathematics | 1 | 5% |
| Unknown | 13 | 65% |
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 July 2018.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from Machine Intelligence Research
#228
of 444 outputs
Outputs of similar age
#344,304
of 450,436 outputs
Outputs of similar age from Machine Intelligence Research
#2
of 9 outputs
Altmetric has tracked 25,382,440 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 444 research outputs from this source. They receive a mean Attention Score of 2.5. 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 450,436 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.