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X Demographics
Mendeley readers
Attention Score in Context
| Title |
LISFLOOD-FP 8.1: new GPU-accelerated solvers for faster fluvial/pluvial flood simulations
|
|---|---|
| Published in |
Geoscientific Model Development, May 2023
|
| DOI | 10.5194/gmd-16-2391-2023 |
| Authors |
Mohammad Kazem Sharifian, Georges Kesserwani, Alovya Ahmed Chowdhury, Jeffrey Neal, Paul Bates |
X Demographics
The data shown below were collected from the profiles of 13 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 Kingdom | 2 | 15% |
| United States | 1 | 8% |
| Switzerland | 1 | 8% |
| Unknown | 9 | 69% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 46% |
| Members of the public | 6 | 46% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 19% |
| Lecturer | 2 | 10% |
| Unspecified | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Professor > Associate Professor | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 10 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 19% |
| Unspecified | 2 | 10% |
| Environmental Science | 1 | 5% |
| Physics and Astronomy | 1 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 10 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 07 May 2023.
All research outputs
#3,558,761
of 25,394,764 outputs
Outputs from Geoscientific Model Development
#195
of 2,047 outputs
Outputs of similar age
#66,426
of 403,988 outputs
Outputs of similar age from Geoscientific Model Development
#6
of 87 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,047 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 90% 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 403,988 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 83% of its contemporaries.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.