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Deep learning for skillful long-lead ENSO forecasts

Overview of attention for article published in Frontiers in Climate, January 2023
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Mentioned by

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1 X user

Citations

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6 Dimensions

Readers on

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15 Mendeley
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Title
Deep learning for skillful long-lead ENSO forecasts
Published in
Frontiers in Climate, January 2023
DOI 10.3389/fclim.2022.1058677
Authors

Kalpesh Ravindra Patil, Takeshi Doi, Venkata Ratnam Jayanthi, Swadhin Behera

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 20%
Student > Ph. D. Student 2 13%
Student > Master 2 13%
Researcher 2 13%
Unspecified 1 7%
Other 0 0%
Unknown 5 33%
Readers by discipline Count As %
Earth and Planetary Sciences 4 27%
Unspecified 2 13%
Mathematics 1 7%
Environmental Science 1 7%
Physics and Astronomy 1 7%
Other 1 7%
Unknown 5 33%
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 06 January 2023.
All research outputs
#21,415,544
of 23,911,072 outputs
Outputs from Frontiers in Climate
#339
of 373 outputs
Outputs of similar age
#361,733
of 435,852 outputs
Outputs of similar age from Frontiers in Climate
#27
of 34 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 373 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.5. This one is in the 1st percentile – i.e., 1% 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 435,852 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.