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Land use regression modeling of intra-urban residential variability in multiple traffic-related air pollutants

Overview of attention for article published in Environmental Health, May 2008
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1 tweeter

Citations

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96 Dimensions

Readers on

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Title
Land use regression modeling of intra-urban residential variability in multiple traffic-related air pollutants
Published in
Environmental Health, May 2008
DOI 10.1186/1476-069x-7-17
Pubmed ID
Authors

Jane E Clougherty, Rosalind J Wright, Lisa K Baxter, Jonathan I Levy

Abstract

There is a growing body of literature linking GIS-based measures of traffic density to asthma and other respiratory outcomes. However, no consensus exists on which traffic indicators best capture variability in different pollutants or within different settings. As part of a study on childhood asthma etiology, we examined variability in outdoor concentrations of multiple traffic-related air pollutants within urban communities, using a range of GIS-based predictors and land use regression techniques.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Canada 2 1%
Belarus 1 <1%
Brazil 1 <1%
Spain 1 <1%
Peru 1 <1%
Unknown 151 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 24%
Researcher 39 24%
Student > Master 20 13%
Professor > Associate Professor 12 8%
Student > Doctoral Student 11 7%
Other 21 13%
Unknown 18 11%
Readers by discipline Count As %
Environmental Science 55 34%
Medicine and Dentistry 18 11%
Social Sciences 11 7%
Engineering 10 6%
Agricultural and Biological Sciences 8 5%
Other 28 18%
Unknown 30 19%

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 19 June 2014.
All research outputs
#16,543,899
of 20,568,640 outputs
Outputs from Environmental Health
#1,200
of 1,415 outputs
Outputs of similar age
#142,167
of 201,541 outputs
Outputs of similar age from Environmental Health
#1
of 1 outputs
Altmetric has tracked 20,568,640 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 1,415 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.0. This one is in the 9th percentile – i.e., 9% 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 201,541 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
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