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Towards landslide space-time forecasting through machine learning: the influence of rainfall parameters and model setting

Overview of attention for article published in Frontiers in Earth Science, April 2023
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Mentioned by

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1 X user

Citations

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8 Dimensions

Readers on

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21 Mendeley
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Title
Towards landslide space-time forecasting through machine learning: the influence of rainfall parameters and model setting
Published in
Frontiers in Earth Science, April 2023
DOI 10.3389/feart.2023.1152130
Authors

Nicola Nocentini, Ascanio Rosi, Samuele Segoni, Riccardo Fanti

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 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 > Doctoral Student 2 10%
Student > Bachelor 2 10%
Researcher 2 10%
Student > Ph. D. Student 2 10%
Unspecified 1 5%
Other 2 10%
Unknown 10 48%
Readers by discipline Count As %
Earth and Planetary Sciences 7 33%
Environmental Science 4 19%
Unspecified 1 5%
Unknown 9 43%
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 25 April 2023.
All research outputs
#20,958,172
of 23,592,647 outputs
Outputs from Frontiers in Earth Science
#3,269
of 5,133 outputs
Outputs of similar age
#209,027
of 266,935 outputs
Outputs of similar age from Frontiers in Earth Science
#95
of 218 outputs
Altmetric has tracked 23,592,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,133 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% 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 266,935 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 218 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.