| Title |
A survey of dynamic spectrum allocation based on reinforcement learning algorithms in cognitive radio networks
|
|---|---|
| Published in |
Artificial Intelligence Review, June 2018
|
| DOI | 10.1007/s10462-018-9639-x |
| Authors |
Yonghua Wang, Zifeng Ye, Pin Wan, Jiajun Zhao |
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 % |
|---|---|---|
| Brazil | 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 15% |
| Student > Ph. D. Student | 8 | 12% |
| Student > Master | 7 | 11% |
| Student > Doctoral Student | 6 | 9% |
| Student > Bachelor | 3 | 5% |
| Other | 8 | 12% |
| Unknown | 24 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 18 | 27% |
| Computer Science | 13 | 20% |
| Mathematics | 2 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Veterinary Science and Veterinary Medicine | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 28 | 42% |
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 09 December 2021.
All research outputs
#6,375,151
of 22,653,392 outputs
Outputs from Artificial Intelligence Review
#113
of 652 outputs
Outputs of similar age
#113,437
of 327,409 outputs
Outputs of similar age from Artificial Intelligence Review
#3
of 11 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 652 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 81% 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 327,409 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 64% 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 gotten more attention than average, scoring higher than 63% of its contemporaries.