| Title |
Analysis of remote sensing imagery for disaster assessment using deep learning: a case study of flooding event
|
|---|---|
| Published in |
Soft Computing, March 2019
|
| DOI | 10.1007/s00500-019-03878-8 |
| Authors |
Liping Yang, Guido Cervone |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 50% |
| France | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 83 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 19% |
| Student > Ph. D. Student | 13 | 16% |
| Lecturer | 8 | 10% |
| Student > Bachelor | 7 | 8% |
| Researcher | 6 | 7% |
| Other | 5 | 6% |
| Unknown | 28 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 16 | 19% |
| Engineering | 9 | 11% |
| Earth and Planetary Sciences | 8 | 10% |
| Environmental Science | 6 | 7% |
| Mathematics | 3 | 4% |
| Other | 9 | 11% |
| Unknown | 32 | 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 02 May 2020.
All research outputs
#7,759,863
of 23,839,820 outputs
Outputs from Soft Computing
#89
of 465 outputs
Outputs of similar age
#141,855
of 354,358 outputs
Outputs of similar age from Soft Computing
#3
of 13 outputs
Altmetric has tracked 23,839,820 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 465 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 80% 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 354,358 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 59% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.