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Performance assessment of the landslide susceptibility modelling using the support vector machine, radial basis function network, and weight of evidence models in the N'fis river basin, Morocco

Overview of attention for article published in Geoscience Letters, October 2022
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1 X user

Citations

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27 Mendeley
Title
Performance assessment of the landslide susceptibility modelling using the support vector machine, radial basis function network, and weight of evidence models in the N'fis river basin, Morocco
Published in
Geoscience Letters, October 2022
DOI 10.1186/s40562-022-00249-4
Authors

Hassan Ait Naceur, Hazem Ghassan Abdo, Brahim Igmoullan, Mustapha Namous, Hussein Almohamad, Ahmed Abdullah Al Dughairi, Motrih Al-Mutiry

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 11%
Lecturer 2 7%
Researcher 2 7%
Student > Master 1 4%
Student > Doctoral Student 1 4%
Other 0 0%
Unknown 18 67%
Readers by discipline Count As %
Earth and Planetary Sciences 3 11%
Environmental Science 2 7%
Computer Science 1 4%
Unspecified 1 4%
Social Sciences 1 4%
Other 1 4%
Unknown 18 67%
Attention Score in Context

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 16 October 2022.
All research outputs
#18,985,884
of 23,538,320 outputs
Outputs from Geoscience Letters
#137
of 200 outputs
Outputs of similar age
#306,886
of 442,252 outputs
Outputs of similar age from Geoscience Letters
#4
of 13 outputs
Altmetric has tracked 23,538,320 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 200 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 4th percentile – i.e., 4% 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 442,252 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.