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Spatial analysis of the association of alcohol outlets and alcohol-related pedestrian/bicyclist injuries in New York City

Overview of attention for article published in Injury Epidemiology, April 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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1 blog
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10 X users

Citations

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16 Dimensions

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28 Mendeley
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Title
Spatial analysis of the association of alcohol outlets and alcohol-related pedestrian/bicyclist injuries in New York City
Published in
Injury Epidemiology, April 2016
DOI 10.1186/s40621-016-0076-5
Pubmed ID
Authors

Charles DiMaggio, Stephen Mooney, Spiros Frangos, Stephen Wall

Abstract

Pedestrian and bicyclist injury is an important public health issue. The retail environment, particularly the presence of alcohol outlets, may contribute the the risk of pedestrian or bicyclist injury, but this association is poorly understood. This study quantifies the spatial risk of alcohol-related pedestrian injury in New York City at the census tract level over a recent 10-year period using a Bayesian hierarchical spatial regression model with Integrated Nested Laplace approximations. The analysis measures local risk, and estimates the association between the presence of alcohol outlets in a census tract and alcohol-involved pedestrian/bicyclist injury after controlling for social, economic and traffic-related variables. Holding all other covariates to zero and adjusting for both random and spatial variation, the presence of at least one alcohol outlet in a census tract increased the risk of a pedestrian or bicyclist being struck by a car by 47 % (IDR = 1.47, 95 % Credible Interval (CrI) 1.13, 1.91). The presence of one or more alcohol outlets in a census tract in an urban environment increases the risk of bicyclist/pedestrian injury in important and meaningful ways. Identifying areas of increased risk due to alcohol allows the targeting of interventions to prevent and control alcohol-related pedestrian and bicyclist injuries.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 25%
Researcher 5 18%
Student > Doctoral Student 3 11%
Student > Bachelor 2 7%
Professor > Associate Professor 2 7%
Other 3 11%
Unknown 6 21%
Readers by discipline Count As %
Social Sciences 6 21%
Medicine and Dentistry 4 14%
Environmental Science 3 11%
Agricultural and Biological Sciences 1 4%
Computer Science 1 4%
Other 4 14%
Unknown 9 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 13 May 2016.
All research outputs
#1,937,671
of 22,860,626 outputs
Outputs from Injury Epidemiology
#88
of 323 outputs
Outputs of similar age
#34,063
of 300,360 outputs
Outputs of similar age from Injury Epidemiology
#3
of 7 outputs
Altmetric has tracked 22,860,626 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 323 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.2. This one has gotten more attention than average, scoring higher than 72% 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 300,360 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.