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Detecting torrential processes from a distance with a seismic monitoring network

Overview of attention for article published in Natural Hazards, May 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
27 Mendeley
Title
Detecting torrential processes from a distance with a seismic monitoring network
Published in
Natural Hazards, May 2015
DOI 10.1007/s11069-015-1819-2
Authors

V. Coviello, M. Arattano, L. Turconi

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 4%
Unknown 26 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 41%
Student > Ph. D. Student 4 15%
Student > Master 4 15%
Professor 1 4%
Student > Doctoral Student 1 4%
Other 1 4%
Unknown 5 19%
Readers by discipline Count As %
Earth and Planetary Sciences 15 56%
Engineering 4 15%
Environmental Science 2 7%
Unknown 6 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 02 July 2015.
All research outputs
#13,090,919
of 22,815,414 outputs
Outputs from Natural Hazards
#1,147
of 1,823 outputs
Outputs of similar age
#121,524
of 266,634 outputs
Outputs of similar age from Natural Hazards
#18
of 35 outputs
Altmetric has tracked 22,815,414 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% 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 36th percentile – i.e., 36% 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 266,634 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.