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Classification and Regression via Integer Optimization for Neighborhood Change

Overview of attention for article published in Geographical Analysis, August 2020
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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 (#45 of 294)
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
12 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
11 Mendeley
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Title
Classification and Regression via Integer Optimization for Neighborhood Change
Published in
Geographical Analysis, August 2020
DOI 10.1111/gean.12252
Authors

Alexander W. Olson, Kexin Zhang, Fernando Calderon‐Figueroa, Ronen Yakubov, Scott Sanner, Daniel Silver, Dani Arribas‐Bel

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 27%
Student > Ph. D. Student 2 18%
Lecturer 2 18%
Student > Postgraduate 1 9%
Unknown 3 27%
Readers by discipline Count As %
Environmental Science 2 18%
Engineering 2 18%
Social Sciences 2 18%
Computer Science 1 9%
Unknown 4 36%
Attention Score in Context

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 10 June 2021.
All research outputs
#3,619,477
of 23,228,787 outputs
Outputs from Geographical Analysis
#45
of 294 outputs
Outputs of similar age
#89,434
of 398,886 outputs
Outputs of similar age from Geographical Analysis
#2
of 6 outputs
Altmetric has tracked 23,228,787 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 294 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has done well, scoring higher than 84% 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 398,886 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 77% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.