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Prediction of the shear wave speed of seafloor sediments in the northern South China Sea based on an XGBoost algorithm

Overview of attention for article published in Frontiers in Marine Science, February 2024
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2 X users

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2 Mendeley
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Title
Prediction of the shear wave speed of seafloor sediments in the northern South China Sea based on an XGBoost algorithm
Published in
Frontiers in Marine Science, February 2024
DOI 10.3389/fmars.2024.1307768
Authors

Wenjing Meng, Xiangmei Meng, Jingqiang Wang, Guanbao Li, Baohua Liu, Guangming Kan, Junjie Lu, Lihong Zhao, Pengyao Zhi

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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 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 %
Unspecified 2 100%
Readers by discipline Count As %
Unspecified 1 50%
Materials Science 1 50%
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 February 2024.
All research outputs
#20,857,842
of 26,498,650 outputs
Outputs from Frontiers in Marine Science
#8,453
of 11,429 outputs
Outputs of similar age
#235,851
of 358,572 outputs
Outputs of similar age from Frontiers in Marine Science
#350
of 480 outputs
Altmetric has tracked 26,498,650 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,429 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one is in the 18th percentile – i.e., 18% 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 358,572 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 480 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.