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Prediction of Pan-Arctic Sea Ice Using Attention-Based LSTM Neural Networks

Overview of attention for article published in Frontiers in Marine Science, June 2022
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3 X users

Citations

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6 Dimensions

Readers on

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17 Mendeley
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Title
Prediction of Pan-Arctic Sea Ice Using Attention-Based LSTM Neural Networks
Published in
Frontiers in Marine Science, June 2022
DOI 10.3389/fmars.2022.860403
Authors

Jianfen Wei, Renlong Hang, Jing-Jia Luo

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 12%
Professor 1 6%
Other 1 6%
Student > Postgraduate 1 6%
Unknown 12 71%
Readers by discipline Count As %
Earth and Planetary Sciences 2 12%
Computer Science 1 6%
Environmental Science 1 6%
Unknown 13 76%
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 07 June 2022.
All research outputs
#18,146,485
of 23,312,088 outputs
Outputs from Frontiers in Marine Science
#6,371
of 8,830 outputs
Outputs of similar age
#296,938
of 444,690 outputs
Outputs of similar age from Frontiers in Marine Science
#441
of 682 outputs
Altmetric has tracked 23,312,088 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 8,830 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 19th percentile – i.e., 19% 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 444,690 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 682 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.