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Use of community-level data in the National Children’s Study to establish the representativeness of segment selection in the Queens Vanguard Site

Overview of attention for article published in International Journal of Health Geographics, June 2012
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Title
Use of community-level data in the National Children’s Study to establish the representativeness of segment selection in the Queens Vanguard Site
Published in
International Journal of Health Geographics, June 2012
DOI 10.1186/1476-072x-11-18
Pubmed ID
Authors

Andrew Rundle, Virginia A Rauh, James Quinn, Gina Lovasi, Leonardo Trasande, Ezra Susser, Howard F Andrews

Abstract

The WHO Multiple Exposures Multiple Effects (MEME) framework identifies community contextual variables as central to the study of childhood health. Here we identify multiple domains of neighborhood context, and key variables describing the dimensions of these domains, for use in the National Children's Study (NCS) site in Queens. We test whether the neighborhoods selected for NCS recruitment, are representative of the whole of Queens County, and whether there is sufficient variability across neighborhoods for meaningful studies of contextual variables.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 2%
Unknown 51 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 27%
Student > Master 8 15%
Student > Bachelor 5 10%
Student > Ph. D. Student 5 10%
Student > Doctoral Student 2 4%
Other 6 12%
Unknown 12 23%
Readers by discipline Count As %
Medicine and Dentistry 10 19%
Social Sciences 8 15%
Environmental Science 3 6%
Sports and Recreations 3 6%
Agricultural and Biological Sciences 2 4%
Other 7 13%
Unknown 19 37%
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 05 June 2012.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from International Journal of Health Geographics
#573
of 654 outputs
Outputs of similar age
#164,050
of 180,822 outputs
Outputs of similar age from International Journal of Health Geographics
#14
of 17 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 654 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one is in the 1st percentile – i.e., 1% 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 180,822 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 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.