| Title |
Physics-informed deep learning framework to model intense precipitation events at super resolution
|
|---|---|
| Published in |
Geoscience Letters, April 2023
|
| DOI | 10.1186/s40562-023-00272-z |
| Pubmed ID | |
| Authors |
B. Teufel, F. Carmo, L. Sushama, L. Sun, M. N. Khaliq, S. Bélair, A. Shamseldin, D. Nagesh Kumar, J. Vaze |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 13% |
| Student > Ph. D. Student | 3 | 13% |
| Student > Postgraduate | 2 | 9% |
| Lecturer | 1 | 4% |
| Unspecified | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 11 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 17% |
| Earth and Planetary Sciences | 3 | 13% |
| Agricultural and Biological Sciences | 2 | 9% |
| Unspecified | 1 | 4% |
| Environmental Science | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 11 | 48% |
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 27 April 2023.
All research outputs
#18,390,325
of 23,622,736 outputs
Outputs from Geoscience Letters
#121
of 204 outputs
Outputs of similar age
#150,594
of 234,740 outputs
Outputs of similar age from Geoscience Letters
#1
of 9 outputs
Altmetric has tracked 23,622,736 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 204 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 33rd percentile – i.e., 33% 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 234,740 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% 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 all of them