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X Demographics
Mendeley readers
Attention Score in Context
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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 18% |
Georgia | 1 | 9% |
United Kingdom | 1 | 9% |
Unknown | 7 | 64% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 10 | 91% |
Scientists | 1 | 9% |
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
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.