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Population‐Based Case‐Control Association Studies

Overview of attention for article published in Current protocols in human genetics, July 2012
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Article details
Title
Population‐Based Case‐Control Association Studies
Published in
Current protocols in human genetics, July 2012
DOI 10.1002/0471142905.hg0117s74
Pubmed ID
Authors
Abstract

This unit provides an overview of the design and analysis of population-based case-control studies of genetic risk factors for complex disease. Considerations specific to genetic studies are emphasized. The unit reviews basic study designs differentiating case-control studies from others, presents different genetic association strategies (candidate gene, genome-wide association, and high-throughput sequencing), introduces basic methods of statistical analysis for case-control data and approaches to combining case-control studies, and discusses measures of association and impact. Admixed populations, controlling for confounding (including population stratification), consideration of multiple loci and environmental risk factors, and complementary analyses of haplotypes, genes, and pathways are briefly discussed. Readers are referred to basic texts on epidemiology for more details on general conduct of case-control studies.

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X Demographics

X Demographics

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

Mendeley demographics

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 3%
Iran, Islamic Republic of 1 3%
India 1 3%
Egypt 1 3%
Unknown 31 89%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 8 23%
Student > Ph. D. Student 6 17%
Professor 5 14%
Student > Master 4 11%
Professor > Associate Professor 2 6%
Other 4 11%
Unknown 6 17%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 16 46%
Biochemistry, Genetics and Molecular Biology 4 11%
Social Sciences 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Computer Science 1 3%
Other 3 9%
Unknown 8 23%
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 28 August 2012.
All research outputs
#27,726,055
of 34,360,257 outputs
Outputs from Current protocols in human genetics
#185
of 210 outputs
Outputs of similar age
#170,999
of 211,784 outputs
Outputs of similar age from Current protocols in human genetics
#1
of 1 outputs
Altmetric has tracked 34,360,257 research outputs across all sources so far. This one is in the 16th percentile – i.e., 16% of other outputs scored the same or lower than it.
So far Altmetric has tracked 210 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 7th percentile – i.e., 7% 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 211,784 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them