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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
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

twitter
10 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
14 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

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 10 tweeters 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 %
Unspecified 3 21%
Student > Ph. D. Student 3 21%
Professor 2 14%
Researcher 1 7%
Unknown 5 36%
Readers by discipline Count As %
Unspecified 3 21%
Earth and Planetary Sciences 2 14%
Engineering 2 14%
Physics and Astronomy 2 14%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Other 0 0%
Unknown 4 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 16 August 2023.
All research outputs
#4,887,373
of 24,542,484 outputs
Outputs from Mathematics
#109
of 3,047 outputs
Outputs of similar age
#96,898
of 450,890 outputs
Outputs of similar age from Mathematics
#10
of 205 outputs
Altmetric has tracked 24,542,484 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,047 research outputs from this source. They receive a mean Attention Score of 1.8. This one has done particularly well, scoring higher than 96% 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 450,890 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 78% of its contemporaries.
We're also able to compare this research output to 205 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 95% of its contemporaries.