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The Path-Dependency of Low-Income Neighbourhood Trajectories: An Approach for Analysing Neighbourhood Change

Overview of attention for article published in Applied Spatial Analysis and Policy, May 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

policy
1 policy source
twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
68 Mendeley
Title
The Path-Dependency of Low-Income Neighbourhood Trajectories: An Approach for Analysing Neighbourhood Change
Published in
Applied Spatial Analysis and Policy, May 2016
DOI 10.1007/s12061-016-9189-z
Authors

Merle Zwiers, Reinout Kleinhans, Maarten Van Ham

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 26%
Researcher 12 18%
Student > Master 10 15%
Other 4 6%
Student > Doctoral Student 4 6%
Other 9 13%
Unknown 11 16%
Readers by discipline Count As %
Social Sciences 32 47%
Environmental Science 3 4%
Design 3 4%
Computer Science 3 4%
Agricultural and Biological Sciences 2 3%
Other 9 13%
Unknown 16 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 December 2020.
All research outputs
#7,286,135
of 24,065,546 outputs
Outputs from Applied Spatial Analysis and Policy
#66
of 244 outputs
Outputs of similar age
#110,695
of 341,386 outputs
Outputs of similar age from Applied Spatial Analysis and Policy
#4
of 12 outputs
Altmetric has tracked 24,065,546 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 244 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 73% 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 341,386 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 67% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.