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What explains neighborhood sorting by income and race?

Overview of attention for article published in Journal of Urban Economics, May 2024
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)

Mentioned by

blogs
1 blog
twitter
11 X users

Readers on

mendeley
22 Mendeley
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Title
What explains neighborhood sorting by income and race?
Published in
Journal of Urban Economics, May 2024
DOI 10.1016/j.jue.2022.103508
Authors

Dionissi Aliprantis, Daniel R. Carroll, Eric R. Young

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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 23%
Student > Bachelor 2 9%
Student > Master 2 9%
Professor 1 5%
Student > Doctoral Student 1 5%
Other 2 9%
Unknown 9 41%
Readers by discipline Count As %
Economics, Econometrics and Finance 9 41%
Business, Management and Accounting 1 5%
Psychology 1 5%
Social Sciences 1 5%
Unknown 10 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 27 March 2024.
All research outputs
#1,940,457
of 25,658,541 outputs
Outputs from Journal of Urban Economics
#251
of 1,320 outputs
Outputs of similar age
#4,729
of 69,071 outputs
Outputs of similar age from Journal of Urban Economics
#1
of 1 outputs
Altmetric has tracked 25,658,541 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,320 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.1. This one has done well, scoring higher than 80% 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 69,071 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% 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