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Machine Learning for Tsunami Waves Forecasting Using Regression Trees

Overview of attention for article published in Big Data Research, May 2024
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
10 Mendeley
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Title
Machine Learning for Tsunami Waves Forecasting Using Regression Trees
Published in
Big Data Research, May 2024
DOI 10.1016/j.bdr.2024.100452
Authors

Eugenio Cesario, Salvatore Giampá, Enrico Baglione, Louise Cordrie, Jacopo Selva, Domenico Talia

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 30%
Lecturer 2 20%
Researcher 1 10%
Student > Doctoral Student 1 10%
Unknown 3 30%
Readers by discipline Count As %
Unspecified 3 30%
Physics and Astronomy 1 10%
Energy 1 10%
Medicine and Dentistry 1 10%
Engineering 1 10%
Other 0 0%
Unknown 3 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 April 2024.
All research outputs
#16,345,776
of 25,806,763 outputs
Outputs from Big Data Research
#53
of 117 outputs
Outputs of similar age
#59,236
of 136,570 outputs
Outputs of similar age from Big Data Research
#1
of 12 outputs
Altmetric has tracked 25,806,763 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 117 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 51% 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 136,570 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 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.