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Phase-resolved wave prediction with varying buoy positions in the field using machine learning-based methods

Overview of attention for article published in Ocean Engineering, September 2024
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1 X user

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2 Mendeley
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Title
Phase-resolved wave prediction with varying buoy positions in the field using machine learning-based methods
Published in
Ocean Engineering, September 2024
DOI 10.1016/j.oceaneng.2024.118107
Authors

Jialun Chen, Thobani Hlophe, David Gunawan, Paul H. Taylor, Ian A. Milne, Wenhua Zhao

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 50%
Unknown 1 50%
Readers by discipline Count As %
Unknown 2 100%
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 21 May 2024.
All research outputs
#21,317,636
of 26,179,695 outputs
Outputs from Ocean Engineering
#902
of 1,420 outputs
Outputs of similar age
#3,607
of 5,203 outputs
Outputs of similar age from Ocean Engineering
#9
of 16 outputs
Altmetric has tracked 26,179,695 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,420 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 25th percentile – i.e., 25% 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 5,203 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.