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Developing an early warning system for a very slow landslide based on displacement monitoring

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

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1 X user

Citations

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Readers on

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56 Mendeley
Title
Developing an early warning system for a very slow landslide based on displacement monitoring
Published in
Natural Hazards, December 2015
DOI 10.1007/s11069-015-2110-2
Authors

Renato Macciotta, Michael Hendry, C. Derek Martin

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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 23%
Student > Master 9 16%
Student > Doctoral Student 3 5%
Student > Bachelor 3 5%
Researcher 3 5%
Other 7 13%
Unknown 18 32%
Readers by discipline Count As %
Engineering 22 39%
Earth and Planetary Sciences 11 20%
Unspecified 1 2%
Computer Science 1 2%
Medicine and Dentistry 1 2%
Other 1 2%
Unknown 19 34%
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 11 December 2015.
All research outputs
#20,298,249
of 22,835,198 outputs
Outputs from Natural Hazards
#1,676
of 1,823 outputs
Outputs of similar age
#326,305
of 388,829 outputs
Outputs of similar age from Natural Hazards
#33
of 46 outputs
Altmetric has tracked 22,835,198 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 1,823 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. 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 388,829 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 46 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.