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Surrogate modeling for the climate sciences dynamics with machine learning and data assimilation

Overview of attention for article published in Frontiers in Applied Mathematics and Statistics, March 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
22 Mendeley
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Title
Surrogate modeling for the climate sciences dynamics with machine learning and data assimilation
Published in
Frontiers in Applied Mathematics and Statistics, March 2023
DOI 10.3389/fams.2023.1133226
Authors

Marc Bocquet

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

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 32%
Student > Ph. D. Student 4 18%
Student > Master 2 9%
Student > Bachelor 1 5%
Student > Doctoral Student 1 5%
Other 0 0%
Unknown 7 32%
Readers by discipline Count As %
Engineering 3 14%
Computer Science 3 14%
Environmental Science 2 9%
Mathematics 2 9%
Chemical Engineering 1 5%
Other 3 14%
Unknown 8 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 November 2023.
All research outputs
#14,843,859
of 24,880,704 outputs
Outputs from Frontiers in Applied Mathematics and Statistics
#81
of 367 outputs
Outputs of similar age
#182,849
of 412,124 outputs
Outputs of similar age from Frontiers in Applied Mathematics and Statistics
#4
of 16 outputs
Altmetric has tracked 24,880,704 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 367 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 76% 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 412,124 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 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.