| Title |
Deep Learning Based Single Image Super-resolution: A Survey
|
|---|---|
| Published in |
Machine Intelligence Research, July 2019
|
| DOI | 10.1007/s11633-019-1183-x |
| Authors |
Viet Khanh Ha, Jin-Chang Ren, Xin-Ying Xu, Sophia Zhao, Gang Xie, Valentin Masero, Amir Hussain |
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 % |
|---|---|---|
| Unknown | 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 20% |
| Student > Master | 13 | 16% |
| Researcher | 6 | 8% |
| Student > Bachelor | 4 | 5% |
| Other | 3 | 4% |
| Other | 10 | 13% |
| Unknown | 27 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 20 | 25% |
| Computer Science | 17 | 22% |
| Earth and Planetary Sciences | 4 | 5% |
| Environmental Science | 2 | 3% |
| Physics and Astronomy | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 31 | 39% |
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 14 April 2022.
All research outputs
#7,965,383
of 25,385,509 outputs
Outputs from Machine Intelligence Research
#52
of 444 outputs
Outputs of similar age
#133,522
of 358,190 outputs
Outputs of similar age from Machine Intelligence Research
#1
of 10 outputs
Altmetric has tracked 25,385,509 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 444 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done well, scoring higher than 86% 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 358,190 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 61% of its contemporaries.
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 all of them