The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
A computationally efficient SPH framework for unsaturated soils and its application to predicting the entire rainfall-induced slope failure process
|
|---|---|
| Published in |
Géotechnique, June 2022
|
| DOI | 10.1680/jgeot.21.00349 |
| Authors |
Yanjian Lian, Ha H. Bui, Giang D. Nguyen, Shaohan Zhao, Asadul Haque |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 10% |
| Hong Kong | 1 | 10% |
| Canada | 1 | 10% |
| Vietnam | 1 | 10% |
| Australia | 1 | 10% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 60% |
| Scientists | 4 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 29% |
| Student > Doctoral Student | 5 | 16% |
| Researcher | 2 | 6% |
| Student > Master | 2 | 6% |
| Unspecified | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 11 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 15 | 48% |
| Unspecified | 1 | 3% |
| Arts and Humanities | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Social Sciences | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 12 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 22 July 2022.
All research outputs
#4,482,944
of 26,184,895 outputs
Outputs from Géotechnique
#20
of 399 outputs
Outputs of similar age
#88,559
of 445,960 outputs
Outputs of similar age from Géotechnique
#2
of 6 outputs
Altmetric has tracked 26,184,895 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 399 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 94% 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 445,960 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 80% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.