↓ Skip to main content

Estimation of sound speed profiles based on remote sensing parameters using a scalable end-to-end tree boosting model

Overview of attention for article published in Frontiers in Marine Science, December 2022
Altmetric Badge

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

twitter
1 X user

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
1 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Estimation of sound speed profiles based on remote sensing parameters using a scalable end-to-end tree boosting model
Published in
Frontiers in Marine Science, December 2022
DOI 10.3389/fmars.2022.1051820
Authors

Zhenyi Ou, Ke Qu, Min Shi, Yafen Wang, Jianbo Zhou

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.
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 08 December 2022.
All research outputs
#16,986,771
of 24,969,131 outputs
Outputs from Frontiers in Marine Science
#7,095
of 10,342 outputs
Outputs of similar age
#270,248
of 479,896 outputs
Outputs of similar age from Frontiers in Marine Science
#426
of 738 outputs
Altmetric has tracked 24,969,131 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,342 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. This one is in the 26th percentile – i.e., 26% 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 479,896 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 738 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.