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Advection-Free Convolutional Neural Network for Convective Rainfall Nowcasting

Overview of attention for article published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, January 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
14 Mendeley
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Title
Advection-Free Convolutional Neural Network for Convective Rainfall Nowcasting
Published in
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, January 2023
DOI 10.1109/jstars.2023.3238016
Authors

Jenna Ritvanen, Bent Harnist, Miguel Aldana, Terhi Mkinen, Seppo Pulkkinen

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 14%
Student > Postgraduate 2 14%
Researcher 2 14%
Student > Master 1 7%
Unspecified 1 7%
Other 0 0%
Unknown 6 43%
Readers by discipline Count As %
Computer Science 4 29%
Earth and Planetary Sciences 2 14%
Unspecified 1 7%
Engineering 1 7%
Unknown 6 43%
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 09 February 2023.
All research outputs
#15,169,685
of 25,837,817 outputs
Outputs from IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
#584
of 924 outputs
Outputs of similar age
#194,491
of 477,240 outputs
Outputs of similar age from IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
#3
of 11 outputs
Altmetric has tracked 25,837,817 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 924 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 31st percentile – i.e., 31% 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 477,240 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 58% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.