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Corrigendum: A meta-deep-learning framework for spatio-temporal underwater SSP inversion

Overview of attention for article published in Frontiers in Marine Science, October 2023
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Title
Corrigendum: A meta-deep-learning framework for spatio-temporal underwater SSP inversion
Published in
Frontiers in Marine Science, October 2023
DOI 10.3389/fmars.2023.1321121
Authors

Wei Huang, Deshi Li, Hao Zhang, Tianhe Xu, Feng Yin

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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 2023.
All research outputs
#16,781,405
of 24,688,240 outputs
Outputs from Frontiers in Marine Science
#6,917
of 10,105 outputs
Outputs of similar age
#84,128
of 163,922 outputs
Outputs of similar age from Frontiers in Marine Science
#150
of 224 outputs
Altmetric has tracked 24,688,240 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 10,105 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 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 163,922 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 224 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.