| Title |
Uncertainty quantification in tsunami modeling using multi-level Monte Carlo finite volume method
|
|---|---|
| Published in |
Journal of Mathematics in Industry, June 2016
|
| DOI | 10.1186/s13362-016-0022-8 |
| Authors |
Carlos Sánchez-Linares, Marc de la Asunción, Manuel J Castro, José M González-Vida, Jorge Macías, Siddhartha Mishra |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 6% |
| Unknown | 17 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 44% |
| Professor > Associate Professor | 2 | 11% |
| Student > Master | 2 | 11% |
| Lecturer | 1 | 6% |
| Researcher | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 3 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 3 | 17% |
| Earth and Planetary Sciences | 3 | 17% |
| Engineering | 2 | 11% |
| Computer Science | 1 | 6% |
| Chemistry | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 7 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 09 June 2016.
All research outputs
#14,854,433
of 22,876,619 outputs
Outputs from Journal of Mathematics in Industry
#23
of 40 outputs
Outputs of similar age
#202,567
of 340,472 outputs
Outputs of similar age from Journal of Mathematics in Industry
#3
of 4 outputs
Altmetric has tracked 22,876,619 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 40 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one scored the same or higher as 17 of them.
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 340,472 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.