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Spatial estimation of chronic respiratory diseases based on machine learning procedures—an approach using remote sensing data and environmental variables in quito, Ecuador

Overview of attention for article published in Applied Geography, October 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
57 Mendeley
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Title
Spatial estimation of chronic respiratory diseases based on machine learning procedures—an approach using remote sensing data and environmental variables in quito, Ecuador
Published in
Applied Geography, October 2020
DOI 10.1016/j.apgeog.2020.102273
Authors

Cesar I. Alvarez-Mendoza, Ana Teodoro, Alberto Freitas, Joao Fonseca

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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 12%
Student > Ph. D. Student 6 11%
Lecturer 3 5%
Unspecified 2 4%
Other 2 4%
Other 9 16%
Unknown 28 49%
Readers by discipline Count As %
Computer Science 4 7%
Engineering 4 7%
Agricultural and Biological Sciences 4 7%
Earth and Planetary Sciences 3 5%
Environmental Science 2 4%
Other 10 18%
Unknown 30 53%
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 20 August 2020.
All research outputs
#14,483,234
of 25,387,668 outputs
Outputs from Applied Geography
#719
of 1,199 outputs
Outputs of similar age
#205,504
of 432,252 outputs
Outputs of similar age from Applied Geography
#14
of 23 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,199 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one is in the 39th percentile – i.e., 39% 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 432,252 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 52% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.