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Global optimization of a numerical two-layer model using observed data: a case study of the 2018 Sunda Strait tsunami

Overview of attention for article published in Geoscience Letters, October 2020
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2 X users

Citations

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Readers on

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34 Mendeley
Title
Global optimization of a numerical two-layer model using observed data: a case study of the 2018 Sunda Strait tsunami
Published in
Geoscience Letters, October 2020
DOI 10.1186/s40562-020-00165-5
Authors

K. Pakoksung, A. Suppasri, A. Muhari, Syamsidik, F. Imamura

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 15%
Student > Bachelor 3 9%
Student > Master 3 9%
Other 2 6%
Lecturer 2 6%
Other 6 18%
Unknown 13 38%
Readers by discipline Count As %
Earth and Planetary Sciences 5 15%
Engineering 5 15%
Computer Science 4 12%
Environmental Science 2 6%
Neuroscience 1 3%
Other 1 3%
Unknown 16 47%
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 26 October 2020.
All research outputs
#18,097,821
of 23,253,955 outputs
Outputs from Geoscience Letters
#119
of 194 outputs
Outputs of similar age
#298,279
of 420,521 outputs
Outputs of similar age from Geoscience Letters
#5
of 7 outputs
Altmetric has tracked 23,253,955 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 30th percentile – i.e., 30% 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 420,521 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.