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Multi-Year ENSO Forecasts Using Parallel Convolutional Neural Networks With Heterogeneous Architecture

Overview of attention for article published in Frontiers in Marine Science, August 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 X users

Readers on

mendeley
9 Mendeley
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Title
Multi-Year ENSO Forecasts Using Parallel Convolutional Neural Networks With Heterogeneous Architecture
Published in
Frontiers in Marine Science, August 2021
DOI 10.3389/fmars.2021.717184
Authors

Min Ye, Jie Nie, Anan Liu, Zhigang Wang, Lei Huang, Hao Tian, Dehai Song, Zhiqiang Wei

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 22%
Professor 1 11%
Student > Bachelor 1 11%
Unknown 5 56%
Readers by discipline Count As %
Engineering 2 22%
Environmental Science 1 11%
Psychology 1 11%
Earth and Planetary Sciences 1 11%
Unknown 4 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 August 2021.
All research outputs
#14,364,381
of 24,522,750 outputs
Outputs from Frontiers in Marine Science
#4,900
of 9,977 outputs
Outputs of similar age
#191,278
of 423,018 outputs
Outputs of similar age from Frontiers in Marine Science
#311
of 593 outputs
Altmetric has tracked 24,522,750 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,977 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one is in the 49th percentile – i.e., 49% 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 423,018 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 593 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.