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The Application of Machine Learning Techniques to Improve El Niño Prediction Skill

Overview of attention for article published in Frontiers in Physics, October 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
5 X users

Readers on

mendeley
80 Mendeley
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Title
The Application of Machine Learning Techniques to Improve El Niño Prediction Skill
Published in
Frontiers in Physics, October 2019
DOI 10.3389/fphy.2019.00153
Authors

Henk A. Dijkstra, Paul Petersik, Emilio Hernández-García, Cristóbal López

Timeline

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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.
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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 20%
Student > Ph. D. Student 11 14%
Student > Bachelor 7 9%
Student > Doctoral Student 5 6%
Student > Master 5 6%
Other 16 20%
Unknown 20 25%
Readers by discipline Count As %
Earth and Planetary Sciences 22 28%
Computer Science 8 10%
Physics and Astronomy 8 10%
Agricultural and Biological Sciences 5 6%
Engineering 5 6%
Other 7 9%
Unknown 25 31%
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 25 October 2019.
All research outputs
#13,140,039
of 23,168,000 outputs
Outputs from Frontiers in Physics
#360
of 3,629 outputs
Outputs of similar age
#163,760
of 352,741 outputs
Outputs of similar age from Frontiers in Physics
#10
of 65 outputs
Altmetric has tracked 23,168,000 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,629 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done well, scoring higher than 89% of its peers.
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 352,741 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 52% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.