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Numerical modeling and characterization of a peculiar flow-like landslide

Overview of attention for article published in Geoenvironmental Disasters, October 2017
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Mentioned by

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1 Facebook page

Citations

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2 Dimensions

Readers on

mendeley
29 Mendeley
Title
Numerical modeling and characterization of a peculiar flow-like landslide
Published in
Geoenvironmental Disasters, October 2017
DOI 10.1186/s40677-017-0087-8
Authors

Mattia Ceccatelli, Giovanni Gigli, Luca Lombardi, Massimiliano Nocentini, Teresa Salvatici

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 17%
Unspecified 3 10%
Student > Doctoral Student 3 10%
Other 3 10%
Student > Master 2 7%
Other 2 7%
Unknown 11 38%
Readers by discipline Count As %
Engineering 6 21%
Earth and Planetary Sciences 5 17%
Unspecified 3 10%
Environmental Science 2 7%
Philosophy 1 3%
Other 0 0%
Unknown 12 41%
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 01 November 2017.
All research outputs
#20,451,228
of 23,007,053 outputs
Outputs from Geoenvironmental Disasters
#141
of 142 outputs
Outputs of similar age
#285,602
of 327,749 outputs
Outputs of similar age from Geoenvironmental Disasters
#1
of 1 outputs
Altmetric has tracked 23,007,053 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 142 research outputs from this source. They receive a mean Attention Score of 3.4. 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 327,749 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them