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A statistical approach to crowdsourced smartphone-based earthquake early warning systems

Overview of attention for article published in Stochastic Environmental Research and Risk Assessment, March 2016
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About this Attention Score

  • Among the highest-scoring outputs from this source (#46 of 239)
  • Above-average Attention Score compared to outputs of the same age (64th percentile)

Mentioned by

facebook
1 Facebook page
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
27 Mendeley
Title
A statistical approach to crowdsourced smartphone-based earthquake early warning systems
Published in
Stochastic Environmental Research and Risk Assessment, March 2016
DOI 10.1007/s00477-016-1240-8
Authors

Francesco Finazzi, Alessandro Fassò

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 %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 19%
Student > Master 4 15%
Researcher 4 15%
Student > Doctoral Student 2 7%
Lecturer 1 4%
Other 5 19%
Unknown 6 22%
Readers by discipline Count As %
Computer Science 5 19%
Earth and Planetary Sciences 5 19%
Engineering 4 15%
Social Sciences 2 7%
Unspecified 1 4%
Other 3 11%
Unknown 7 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 August 2018.
All research outputs
#7,607,197
of 23,839,820 outputs
Outputs from Stochastic Environmental Research and Risk Assessment
#46
of 239 outputs
Outputs of similar age
#105,314
of 302,861 outputs
Outputs of similar age from Stochastic Environmental Research and Risk Assessment
#1
of 3 outputs
Altmetric has tracked 23,839,820 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
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 has done well, scoring higher than 82% of its peers.
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 302,861 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 64% of its contemporaries.
We're also able to compare this research output to 3 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