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Spatial Context and Health Inequity: Reconfiguring Race, Place, and Poverty

Overview of attention for article published in Journal of Urban Health, November 2017
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Title
Spatial Context and Health Inequity: Reconfiguring Race, Place, and Poverty
Published in
Journal of Urban Health, November 2017
DOI 10.1007/s11524-017-0210-x
Pubmed ID
Authors

Elizabeth L. Tung, Kathleen A. Cagney, Monica E. Peek, Marshall H. Chin

Abstract

Intimate connections among race, place, and poverty are increasingly featured in the health disparities literature. However, few models exist that can guide our understanding of these interconnections. We build on the Chicago School of Sociology's contributions in urban research and one of its contemporary elaborations, often described as the "neighborhood effects approach," to propose a three-axis model of health inequity. This model, in alignment with Chicago School theory, postulates a dynamic and adaptive relationship between spatial context and health inequity. Compositional axes of race and poverty form the foundation of the model. These compositional axes then intersect with a third axis of place to compose the built and social environment planes. We develop this model to provide conceptual guidance for clinical, policy, and public health researchers who aim to examine how these three features, taken together, have important implications for urban health.

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

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 18%
Student > Ph. D. Student 12 14%
Student > Doctoral Student 12 14%
Researcher 9 11%
Student > Bachelor 6 7%
Other 12 14%
Unknown 19 22%
Readers by discipline Count As %
Social Sciences 18 21%
Medicine and Dentistry 11 13%
Nursing and Health Professions 10 12%
Agricultural and Biological Sciences 3 4%
Psychology 3 4%
Other 14 16%
Unknown 26 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 31 July 2018.
All research outputs
#18,581,651
of 23,015,156 outputs
Outputs from Journal of Urban Health
#1,201
of 1,295 outputs
Outputs of similar age
#249,673
of 325,980 outputs
Outputs of similar age from Journal of Urban Health
#13
of 14 outputs
Altmetric has tracked 23,015,156 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,295 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.4. This one is in the 3rd percentile – i.e., 3% of its peers scored the same or lower than it.
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 325,980 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.