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Point process-based modeling of multiple debris flow landslides using INLA: an application to the 2009 Messina disaster

Overview of attention for article published in Stochastic Environmental Research and Risk Assessment, February 2018
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Title
Point process-based modeling of multiple debris flow landslides using INLA: an application to the 2009 Messina disaster
Published in
Stochastic Environmental Research and Risk Assessment, February 2018
DOI 10.1007/s00477-018-1518-0
Authors

Luigi Lombardo, Thomas Opitz, Raphaël Huser

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 87 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 21%
Researcher 16 18%
Student > Master 12 14%
Lecturer 6 7%
Student > Bachelor 4 5%
Other 10 11%
Unknown 21 24%
Readers by discipline Count As %
Earth and Planetary Sciences 25 29%
Engineering 9 10%
Agricultural and Biological Sciences 7 8%
Computer Science 6 7%
Environmental Science 3 3%
Other 10 11%
Unknown 27 31%
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 22 January 2019.
All research outputs
#19,236,357
of 23,839,820 outputs
Outputs from Stochastic Environmental Research and Risk Assessment
#196
of 239 outputs
Outputs of similar age
#339,764
of 450,036 outputs
Outputs of similar age from Stochastic Environmental Research and Risk Assessment
#5
of 5 outputs
Altmetric has tracked 23,839,820 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 239 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 9th percentile – i.e., 9% 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 450,036 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.