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Identifying Neighbourhood Change Using a Data Primitive Approach: the Example of Gentrification

Overview of attention for article published in Applied Spatial Analysis and Policy, March 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Identifying Neighbourhood Change Using a Data Primitive Approach: the Example of Gentrification
Published in
Applied Spatial Analysis and Policy, March 2023
DOI 10.1007/s12061-023-09509-y
Authors

Jennie Gray, Lisa Buckner, Alexis Comber

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 14%
Student > Bachelor 1 14%
Unknown 5 71%
Readers by discipline Count As %
Environmental Science 1 14%
Engineering 1 14%
Unknown 5 71%
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 09 March 2023.
All research outputs
#13,036,620
of 23,505,669 outputs
Outputs from Applied Spatial Analysis and Policy
#91
of 243 outputs
Outputs of similar age
#115,199
of 340,480 outputs
Outputs of similar age from Applied Spatial Analysis and Policy
#1
of 1 outputs
Altmetric has tracked 23,505,669 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 243 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 62% 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 340,480 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 65% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them