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Genetic Epidemiology

Overview of attention for book
Attention for Chapter 4: Genome-Wide Association Studies
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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4 X users

Citations

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5 Dimensions

Readers on

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128 Mendeley
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Chapter title
Genome-Wide Association Studies
Chapter number 4
Book title
Genetic Epidemiology
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7868-7_4
Pubmed ID
Book ISBNs
978-1-4939-7867-0, 978-1-4939-7868-7
Authors

Abbas Dehghan, Dehghan, Abbas

Abstract

Genetic association studies have made a major contribution to our understanding of the genetics of complex disorders over the last 10 years through genome-wide association studies (GWAS). In this chapter, we review the key concepts that underlie the GWAS approach. We will describe the "common disease, common variant" theory, and will review how we finally afforded to capture the common variance in genome to make GWAS possible. Finally, we will go over technical aspects of GWAS such as genotype imputation, epidemiologic designs, analysis methods, and considerations such as genomic inflation, multiple testing, and replication.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 128 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 20%
Student > Master 18 14%
Student > Bachelor 15 12%
Researcher 14 11%
Student > Doctoral Student 6 5%
Other 12 9%
Unknown 37 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 37 29%
Agricultural and Biological Sciences 17 13%
Medicine and Dentistry 12 9%
Social Sciences 4 3%
Neuroscience 4 3%
Other 14 11%
Unknown 40 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 31 January 2020.
All research outputs
#12,805,885
of 23,090,520 outputs
Outputs from Methods in molecular biology
#3,185
of 13,206 outputs
Outputs of similar age
#199,728
of 442,629 outputs
Outputs of similar age from Methods in molecular biology
#258
of 1,499 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,206 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 75% of its peers.
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 442,629 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.