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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Super resolution of historic Landsat imagery using a dual generative adversarial network (GAN) model with CubeSat constellation imagery for spatially enhanced long-term vegetation monitoring
|
|---|---|
| Published in |
ISPRS Journal of Photogrammetry & Remote Sensing, June 2023
|
| DOI | 10.1016/j.isprsjprs.2023.04.013 |
| Authors |
Juwon Kong, Youngryel Ryu, Sungchan Jeong, Zilong Zhong, Wonseok Choi, Jongmin Kim, Kyungdo Lee, Joongbin Lim, Keunchang Jang, Junghwa Chun, Kyoung-Min Kim, Rasmus Houborg |
X Demographics
The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 4 | 17% |
| Canada | 3 | 13% |
| United States | 1 | 4% |
| Mongolia | 1 | 4% |
| Spain | 1 | 4% |
| Mexico | 1 | 4% |
| Unknown | 12 | 52% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 78% |
| Scientists | 5 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 3 | 10% |
| Researcher | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Student > Master | 2 | 7% |
| Unspecified | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 15 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 5 | 17% |
| Earth and Planetary Sciences | 3 | 10% |
| Engineering | 2 | 7% |
| Computer Science | 2 | 7% |
| Unspecified | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 14 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 May 2023.
All research outputs
#2,146,476
of 25,394,764 outputs
Outputs from ISPRS Journal of Photogrammetry & Remote Sensing
#63
of 1,016 outputs
Outputs of similar age
#40,892
of 388,748 outputs
Outputs of similar age from ISPRS Journal of Photogrammetry & Remote Sensing
#1
of 9 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,016 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done particularly well, scoring higher than 93% 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 388,748 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
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 all of them