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An Open‐Source Model for Projecting Small Area Demographic and Land‐Use Change

Overview of attention for article published in Geographical Analysis, February 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)

Mentioned by

twitter
11 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
16 Mendeley
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Title
An Open‐Source Model for Projecting Small Area Demographic and Land‐Use Change
Published in
Geographical Analysis, February 2022
DOI 10.1111/gean.12320
Authors

Nik Lomax, Andrew P. Smith, Luke Archer, Alistair Ford, James Virgo

X Demographics

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.
Mendeley readers

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%
Researcher 3 19%
Other 1 6%
Student > Bachelor 1 6%
Professor > Associate Professor 1 6%
Other 0 0%
Unknown 6 38%
Readers by discipline Count As %
Environmental Science 2 13%
Mathematics 2 13%
Medicine and Dentistry 2 13%
Earth and Planetary Sciences 1 6%
Social Sciences 1 6%
Other 1 6%
Unknown 7 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 13 September 2022.
All research outputs
#4,593,373
of 25,457,858 outputs
Outputs from Geographical Analysis
#55
of 334 outputs
Outputs of similar age
#107,417
of 520,003 outputs
Outputs of similar age from Geographical Analysis
#6
of 6 outputs
Altmetric has tracked 25,457,858 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 334 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done well, scoring higher than 83% 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 520,003 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 79% 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.