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Application of Solar Activity Time Series in Machine Learning Predictive Modeling of Precipitation-Induced Floods

Overview of attention for article published in Mathematics, February 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

twitter
11 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
16 Mendeley
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Title
Application of Solar Activity Time Series in Machine Learning Predictive Modeling of Precipitation-Induced Floods
Published in
Mathematics, February 2023
DOI 10.3390/math11040795
Authors

Slavica Malinović-Milićević, Milan M. Radovanović, Sonja D. Radenković, Yaroslav Vyklyuk, Boško Milovanović, Ana Milanović Pešić, Milan Milenković, Vladimir Popović, Marko Petrović, Petro Sydor, Mirjana Gajić

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 25%
Professor 2 13%
Student > Doctoral Student 1 6%
Other 1 6%
Lecturer 1 6%
Other 1 6%
Unknown 6 38%
Readers by discipline Count As %
Engineering 4 25%
Earth and Planetary Sciences 3 19%
Physics and Astronomy 2 13%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Unknown 6 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 18 April 2024.
All research outputs
#4,215,104
of 25,713,737 outputs
Outputs from Mathematics
#90
of 3,500 outputs
Outputs of similar age
#81,417
of 477,778 outputs
Outputs of similar age from Mathematics
#7
of 220 outputs
Altmetric has tracked 25,713,737 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,500 research outputs from this source. They receive a mean Attention Score of 1.8. This one has done particularly well, scoring higher than 97% 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 477,778 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 220 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.