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Disparities in Urban Neighborhood Conditions: Evidence from GIS Measures and Field Observation in New York City

Overview of attention for article published in Journal of Public Health Policy, February 2009
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#36 of 934)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
6 news outlets
blogs
1 blog
policy
1 policy source
twitter
1 X user
patent
1 patent
reddit
1 Redditor

Readers on

mendeley
251 Mendeley
citeulike
1 CiteULike
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Article details
Title
Disparities in Urban Neighborhood Conditions: Evidence from GIS Measures and Field Observation in New York City
Published in
Journal of Public Health Policy, February 2009
DOI 10.1057/jphp.2008.47
Pubmed ID
Authors

Kathryn M Neckerman, Gina S Lovasi, Stephen Davies, Marnie Purciel, James Quinn, Eric Feder, Nakita Raghunath, Benjamin Wasserman, Andrew Rundle

Abstract

Although many low-income urban areas are highly walkable by conventional measures such as population density or land use mix, chronic diseases related to lack of physical activity are more common among residents of these areas. Disparities in neighborhood conditions may make poor areas less attractive environments for walking, offsetting the advantages of density and land use mix. This study compared poor and nonpoor neighborhoods in New York City, using geographic information systems measures constructed from public data for US census tracts within New York City (N=2,172) as well as field observation of a matched-pair sample of 76 block faces on commercial streets in poor and nonpoor neighborhoods. Poor census tracts had significantly fewer street trees, landmarked buildings, clean streets, and sidewalk cafes, and higher rates of felony complaints, narcotics arrests, and vehicular crashes. The field observation showed similar results. Improving aesthetic and safety conditions in poor neighborhoods may help reduce disparities in physical activity among urban residents.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 251 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 8 3%
Brazil 2 <1%
India 1 <1%
Canada 1 <1%
Australia 1 <1%
Unknown 238 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 51 20%
Student > Master 44 18%
Researcher 35 14%
Student > Doctoral Student 22 9%
Student > Bachelor 17 7%
Other 39 16%
Unknown 43 17%
Readers by discipline
Readers by discipline Count As %
Social Sciences 74 29%
Environmental Science 21 8%
Engineering 16 6%
Medicine and Dentistry 16 6%
Agricultural and Biological Sciences 14 6%
Other 51 20%
Unknown 59 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 60. 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 06 October 2023.
All research outputs
#889,580
of 33,992,632 outputs
Outputs from Journal of Public Health Policy
#36
of 934 outputs
Outputs of similar age
#2,846
of 249,916 outputs
Outputs of similar age from Journal of Public Health Policy
#1
of 11 outputs
Altmetric has tracked 33,992,632 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 934 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one has done particularly well, scoring higher than 96% 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 249,916 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 98% 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 has done particularly well, scoring higher than 90% of its contemporaries.