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A semi-parametric approach to estimate risk functions associated with multi-dimensional exposure profiles: application to smoking and lung cancer

Overview of attention for article published in BMC Medical Research Methodology, October 2013
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1 tweeter

Citations

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14 Dimensions

Readers on

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20 Mendeley
Title
A semi-parametric approach to estimate risk functions associated with multi-dimensional exposure profiles: application to smoking and lung cancer
Published in
BMC Medical Research Methodology, October 2013
DOI 10.1186/1471-2288-13-129
Pubmed ID
Authors

David I Hastie, Silvia Liverani, Lamiae Azizi, Sylvia Richardson, Isabelle Stücker

Abstract

A common characteristic of environmental epidemiology is the multi-dimensional aspect of exposure patterns, frequently reduced to a cumulative exposure for simplicity of analysis. By adopting a flexible Bayesian clustering approach, we explore the risk function linking exposure history to disease. This approach is applied here to study the relationship between different smoking characteristics and lung cancer in the framework of a population based case control study.

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

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Other 6 30%
Student > Doctoral Student 3 15%
Student > Ph. D. Student 3 15%
Researcher 2 10%
Student > Master 2 10%
Other 4 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 20%
Computer Science 3 15%
Engineering 2 10%
Medicine and Dentistry 2 10%
Unspecified 2 10%
Other 7 35%

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 27 November 2013.
All research outputs
#9,905,962
of 12,373,180 outputs
Outputs from BMC Medical Research Methodology
#915
of 1,095 outputs
Outputs of similar age
#150,638
of 220,442 outputs
Outputs of similar age from BMC Medical Research Methodology
#86
of 98 outputs
Altmetric has tracked 12,373,180 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 1,095 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
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We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.