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Application of a process-based shallow landslide hazard model over a broad area in Central Italy

Overview of attention for article published in Landslides, December 2015
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Mentioned by

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1 Facebook page

Citations

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11 Dimensions

Readers on

mendeley
22 Mendeley
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Title
Application of a process-based shallow landslide hazard model over a broad area in Central Italy
Published in
Landslides, December 2015
DOI 10.1007/s10346-015-0670-6
Authors

Eleonora Gioia, Gabriella Speranza, Maurizio Ferretti, Jonathan W. Godt, Rex L. Baum, Fausto Marincioni

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 23%
Student > Master 5 23%
Researcher 3 14%
Student > Bachelor 3 14%
Student > Postgraduate 2 9%
Other 1 5%
Unknown 3 14%
Readers by discipline Count As %
Engineering 7 32%
Earth and Planetary Sciences 6 27%
Environmental Science 4 18%
Unknown 5 23%

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 28 September 2016.
All research outputs
#11,073,256
of 12,454,738 outputs
Outputs from Landslides
#181
of 213 outputs
Outputs of similar age
#284,608
of 346,197 outputs
Outputs of similar age from Landslides
#10
of 10 outputs
Altmetric has tracked 12,454,738 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 213 research outputs from this source. They receive a mean Attention Score of 4.0. 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 346,197 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 10 others from the same source and published within six weeks on either side of this one.