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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bathymetry Inversion Using a Deep‐Learning‐Based Surrogate for Shallow Water Equations Solvers
|
|---|---|
| Published in |
Water Resources Research, March 2024
|
| DOI | 10.1029/2023wr035890 |
| Authors |
Xiaofeng Liu, Yalan Song, Chaopeng Shen |
X Demographics
The data shown below were collected from the profiles of 9 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 | 4 | 44% |
| Nepal | 1 | 11% |
| Nigeria | 1 | 11% |
| United Kingdom | 1 | 11% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Scientists | 4 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 42% |
| Professor > Associate Professor | 1 | 8% |
| Lecturer > Senior Lecturer | 1 | 8% |
| Student > Postgraduate | 1 | 8% |
| Student > Ph. D. Student | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 2 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 33% |
| Environmental Science | 3 | 25% |
| Computer Science | 1 | 8% |
| Physics and Astronomy | 1 | 8% |
| Earth and Planetary Sciences | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 2 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 23 March 2024.
All research outputs
#5,227,305
of 25,605,018 outputs
Outputs from Water Resources Research
#1,104
of 5,287 outputs
Outputs of similar age
#41,721
of 194,120 outputs
Outputs of similar age from Water Resources Research
#7
of 26 outputs
Altmetric has tracked 25,605,018 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,287 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has done well, scoring higher than 79% 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 194,120 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 78% of its contemporaries.
We're also able to compare this research output to 26 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 73% of its contemporaries.