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Developing an Event-Tree Probabilistic Tsunami Inundation Model for NE Atlantic Coasts: Application to a Case Study

Overview of attention for article published in Pure and Applied Geophysics, August 2016
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
1 policy source

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
16 Mendeley
Title
Developing an Event-Tree Probabilistic Tsunami Inundation Model for NE Atlantic Coasts: Application to a Case Study
Published in
Pure and Applied Geophysics, August 2016
DOI 10.1007/s00024-016-1367-z
Authors

R. Omira, L. Matias, M. A. Baptista

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 19%
Student > Doctoral Student 2 13%
Student > Ph. D. Student 2 13%
Lecturer 1 6%
Student > Master 1 6%
Other 3 19%
Unknown 4 25%
Readers by discipline Count As %
Earth and Planetary Sciences 8 50%
Engineering 4 25%
Unknown 4 25%
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 11 May 2017.
All research outputs
#7,845,540
of 23,794,258 outputs
Outputs from Pure and Applied Geophysics
#188
of 744 outputs
Outputs of similar age
#128,175
of 359,439 outputs
Outputs of similar age from Pure and Applied Geophysics
#4
of 8 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 744 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 44th percentile – i.e., 44% 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 359,439 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.