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Neighborhood Characteristics and Availability of Healthy Foods in Baltimore

Overview of attention for article published in American Journal of Preventive Medicine, October 2008
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
policy
4 policy sources
twitter
1 X user
wikipedia
2 Wikipedia pages
reddit
2 Redditors

Readers on

mendeley
357 Mendeley
connotea
1 Connotea
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Article details
Title
Neighborhood Characteristics and Availability of Healthy Foods in Baltimore
Published in
American Journal of Preventive Medicine, October 2008
DOI 10.1016/j.amepre.2008.07.003
Pubmed ID
Authors
Abstract

Differential access to healthy foods may contribute to racial and economic health disparities. The availability of healthy foods has rarely been directly measured in a systematic fashion. This study examines the associations among the availability of healthy foods and racial and income neighborhood composition. A cross-sectional study was conducted in 2006 to determine differences in the availability of healthy foods across 159 contiguous neighborhoods (census tracts) in Baltimore City and Baltimore County and in the 226 food stores within them. A healthy food availability index (HFAI) was determined for each store, using a validated instrument ranging from 0 points to 27 points. Neighborhood healthy food availability was summarized by the mean HFAI for the stores within the neighborhood. Descriptive analyses and multilevel models were used to examine associations of store type and neighborhood characteristics with healthy food availability. Forty-three percent of predominantly black neighborhoods and 46% of lower-income neighborhoods were in the lowest tertile of healthy food availability versus 4% and 13%, respectively, in predominantly white and higher-income neighborhoods (p<0.001). Mean differences in HFAI comparing predominantly black neighborhoods to white ones, and lower-income neighborhoods to higher-income neighborhoods, were -7.6 and -8.1, respectively. Supermarkets in predominantly black and lower-income neighborhoods had lower HFAI scores than supermarkets in predominantly white and higher-income neighborhoods (mean differences -3.7 and -4.9, respectively). Regression analyses showed that both store type and neighborhood characteristics were independently associated with the HFAI score. Predominantly black and lower-income neighborhoods have a lower availability of healthy foods than white and higher-income neighborhoods due to the differential placement of types of stores as well as differential offerings of healthy foods within similar stores. These differences may contribute to racial and economic health disparities.

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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 357 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 9 3%
United Kingdom 3 <1%
Canada 2 <1%
South Africa 1 <1%
France 1 <1%
Unknown 341 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 75 21%
Student > Ph. D. Student 53 15%
Student > Bachelor 40 11%
Researcher 34 10%
Student > Doctoral Student 29 8%
Other 64 18%
Unknown 62 17%
Readers by discipline
Readers by discipline Count As %
Social Sciences 80 22%
Medicine and Dentistry 71 20%
Nursing and Health Professions 42 12%
Agricultural and Biological Sciences 29 8%
Biochemistry, Genetics and Molecular Biology 7 2%
Other 41 11%
Unknown 87 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 2023.
All research outputs
#1,351,224
of 32,083,093 outputs
Outputs from American Journal of Preventive Medicine
#1,058
of 5,765 outputs
Outputs of similar age
#3,105
of 134,605 outputs
Outputs of similar age from American Journal of Preventive Medicine
#11
of 41 outputs
Altmetric has tracked 32,083,093 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,765 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one has done well, scoring higher than 81% 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 134,605 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 97% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.