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The geographic scale of Metropolitan racial segregation

Overview of attention for article published in Demography, August 2008
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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 (91st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
4 policy sources
twitter
1 X user

Citations

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250 Dimensions

Readers on

mendeley
235 Mendeley
Title
The geographic scale of Metropolitan racial segregation
Published in
Demography, August 2008
DOI 10.1353/dem.0.0019
Pubmed ID
Authors

Sean F. Reardon, Stephen A. Matthews, David O’Sullivan, Barrett A. Lee, Glenn Firebaugh, Chad R. Farrell, Kendra Bischoff

Abstract

This article addresses an aspect of racial residential segregation that has been largely ignored in prior work: the issue of geographic scale. In some metropolitan areas, racial groups are segregated over large regions, with predominately white regions, predominately black regions, and so on, whereas in other areas, the separation of racial groups occurs over much shorter distances. Here we develop an approach-featuring the segregation profile and the corresponding macro/micro segregation ratio-that offers a scale-sensitive alternative to standard methodological practice for describing segregation. Using this approach, we measure and describe the geographic scale of racial segregation in the 40 largest U.S. metropolitan areas in 2000. We find considerable heterogeneity in the geographic scale of segregation patterns across both metropolitan areas and racial groups, a heterogeneity that is not evident using conventional "aspatial" segregation measures. Moreover, because the geographic scale of segregation is only modestly correlated with the level of segregation in our sample, we argue that geographic scale represents a distinct dimension of residential segregation. We conclude with a brief discussion of the implications of our findings for investigating the patterns, causes, and consequences of residential segregation at different geographic scales.

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

Geographical breakdown

Country Count As %
United States 7 3%
Brazil 1 <1%
Unknown 227 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 79 34%
Student > Master 33 14%
Researcher 23 10%
Student > Doctoral Student 19 8%
Professor > Associate Professor 15 6%
Other 37 16%
Unknown 29 12%
Readers by discipline Count As %
Social Sciences 138 59%
Economics, Econometrics and Finance 13 6%
Medicine and Dentistry 7 3%
Environmental Science 6 3%
Earth and Planetary Sciences 5 2%
Other 30 13%
Unknown 36 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 01 March 2023.
All research outputs
#2,816,959
of 25,756,531 outputs
Outputs from Demography
#707
of 2,023 outputs
Outputs of similar age
#8,284
of 98,804 outputs
Outputs of similar age from Demography
#6
of 11 outputs
Altmetric has tracked 25,756,531 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,023 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.2. This one has gotten more attention than average, scoring higher than 64% 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 98,804 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 91% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.