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Assessing the spatial sensitivity of a random forest model: Application in gridded population modeling

Overview of attention for article published in Computers, Environment & Urban Systems, May 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#42 of 620)
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
23 X users

Citations

dimensions_citation
69 Dimensions

Readers on

mendeley
116 Mendeley
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Title
Assessing the spatial sensitivity of a random forest model: Application in gridded population modeling
Published in
Computers, Environment & Urban Systems, May 2019
DOI 10.1016/j.compenvurbsys.2019.01.006
Authors

Parmanand Sinha, Andrea E. Gaughan, Forrest R. Stevens, Jeremiah J. Nieves, Alessandro Sorichetta, Andrew J. Tatem

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 116 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 18%
Researcher 21 18%
Student > Master 14 12%
Other 6 5%
Student > Bachelor 6 5%
Other 17 15%
Unknown 31 27%
Readers by discipline Count As %
Earth and Planetary Sciences 16 14%
Environmental Science 13 11%
Agricultural and Biological Sciences 10 9%
Computer Science 9 8%
Engineering 7 6%
Other 19 16%
Unknown 42 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 22 May 2022.
All research outputs
#2,403,684
of 25,411,814 outputs
Outputs from Computers, Environment & Urban Systems
#42
of 620 outputs
Outputs of similar age
#51,163
of 363,346 outputs
Outputs of similar age from Computers, Environment & Urban Systems
#2
of 11 outputs
Altmetric has tracked 25,411,814 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 620 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done particularly well, scoring higher than 93% 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 363,346 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 85% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.