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Statistical strategies for constructing health risk models with multiple pollutants and their interactions: possible choices and comparisons

Overview of attention for article published in Environmental Health, October 2013
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1 tweeter

Citations

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67 Dimensions

Readers on

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105 Mendeley
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Title
Statistical strategies for constructing health risk models with multiple pollutants and their interactions: possible choices and comparisons
Published in
Environmental Health, October 2013
DOI 10.1186/1476-069x-12-85
Pubmed ID
Authors

Zhichao Sun, Yebin Tao, Shi Li, Kelly K Ferguson, John D Meeker, Sung Kyun Park, Stuart A Batterman, Bhramar Mukherjee

Abstract

As public awareness of consequences of environmental exposures has grown, estimating the adverse health effects due to simultaneous exposure to multiple pollutants is an important topic to explore. The challenges of evaluating the health impacts of environmental factors in a multipollutant model include, but are not limited to: identification of the most critical components of the pollutant mixture, examination of potential interaction effects, and attribution of health effects to individual pollutants in the presence of multicollinearity.

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 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Canada 1 <1%
Unknown 102 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 23%
Student > Ph. D. Student 24 23%
Student > Master 14 13%
Student > Doctoral Student 7 7%
Lecturer 6 6%
Other 21 20%
Unknown 9 9%
Readers by discipline Count As %
Environmental Science 25 24%
Agricultural and Biological Sciences 17 16%
Medicine and Dentistry 11 10%
Social Sciences 7 7%
Nursing and Health Professions 6 6%
Other 23 22%
Unknown 16 15%

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 09 December 2013.
All research outputs
#9,994,611
of 12,487,163 outputs
Outputs from Environmental Health
#835
of 1,002 outputs
Outputs of similar age
#110,588
of 161,423 outputs
Outputs of similar age from Environmental Health
#4
of 4 outputs
Altmetric has tracked 12,487,163 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 1,002 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.2. This one is in the 10th percentile – i.e., 10% 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 161,423 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.