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Forecasting infectious diseases in Brazilian cities: Integrating socio-economic and geographic data from related cities through a machine learning approach

Overview of attention for article published in Chaos, Solitons & Fractals, October 2024
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

twitter
7 X users

Readers on

mendeley
3 Mendeley
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Title
Forecasting infectious diseases in Brazilian cities: Integrating socio-economic and geographic data from related cities through a machine learning approach
Published in
Chaos, Solitons & Fractals, October 2024
DOI 10.1016/j.chaos.2024.115417
Authors

Luiza Lober, Kirstin O. Roster, Francisco A. Rodrigues

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 67%
Student > Doctoral Student 1 33%
Readers by discipline Count As %
Business, Management and Accounting 1 33%
Computer Science 1 33%
Physics and Astronomy 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 25 September 2024.
All research outputs
#7,735,213
of 26,526,993 outputs
Outputs from Chaos, Solitons & Fractals
#232
of 1,651 outputs
Outputs of similar age
#30,024
of 107,862 outputs
Outputs of similar age from Chaos, Solitons & Fractals
#1
of 17 outputs
Altmetric has tracked 26,526,993 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,651 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 85% 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 107,862 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 72% of its contemporaries.
We're also able to compare this research output to 17 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 94% of its contemporaries.