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RSST-ARGM: a data-driven approach to long-term sea surface temperature prediction

Overview of attention for article published in EURASIP Journal on Wireless Communications and Networking, August 2021
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Mentioned by

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2 X users

Citations

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5 Dimensions

Readers on

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12 Mendeley
Title
RSST-ARGM: a data-driven approach to long-term sea surface temperature prediction
Published in
EURASIP Journal on Wireless Communications and Networking, August 2021
DOI 10.1186/s13638-021-02044-9
Authors

Linqian Zhu, Qi Liu, Xiaodong Liu, Yonghong Zhang

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 8%
Student > Doctoral Student 1 8%
Unknown 10 83%
Readers by discipline Count As %
Business, Management and Accounting 1 8%
Computer Science 1 8%
Unknown 10 83%
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 28 December 2022.
All research outputs
#19,961,193
of 25,392,582 outputs
Outputs from EURASIP Journal on Wireless Communications and Networking
#355
of 549 outputs
Outputs of similar age
#311,060
of 434,413 outputs
Outputs of similar age from EURASIP Journal on Wireless Communications and Networking
#5
of 6 outputs
Altmetric has tracked 25,392,582 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 549 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 34th percentile – i.e., 34% 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 434,413 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.