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Genetic Epidemiology

Overview of attention for book
Attention for Chapter 10: Methods for Polygenic Traits
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  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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3 X users

Citations

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16 Mendeley
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Chapter title
Methods for Polygenic Traits
Chapter number 10
Book title
Genetic Epidemiology
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7868-7_10
Pubmed ID
Book ISBNs
978-1-4939-7867-0, 978-1-4939-7868-7
Authors

Raha Pazoki, Pazoki, Raha

Abstract

An important aspect of public health is disease prediction and health promotion through better targeting of preventive strategies. Well-targeted preventive strategies will eventually decrease burden of diseases and thus precise prediction plays a crucial role in public health. Many investigators put efforts into finding models that improve prediction using known risk factors of diseases. Recently with the overwhelming load of genetic loci discovered for complex diseases through genome-wide association studies (GWAS), much of attention has been focused on the role of these genetic loci to improve prediction models. Genetic loci in solo explain little variance of diseases. It is thus necessary to create new genetic parameters that combine the effect of as many genetic loci as possible. Such new parameters aim to better distinguish individuals who will develop a disease from those who will not. In this chapter, various polygenic methods that use multiple genetic loci to directly or indirectly improve precision of genetic prediction are discussed.

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 19%
Other 1 6%
Student > Bachelor 1 6%
Professor 1 6%
Student > Ph. D. Student 1 6%
Other 3 19%
Unknown 6 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 31%
Arts and Humanities 1 6%
Unspecified 1 6%
Agricultural and Biological Sciences 1 6%
Medicine and Dentistry 1 6%
Other 1 6%
Unknown 6 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 May 2019.
All research outputs
#13,620,235
of 23,092,602 outputs
Outputs from Methods in molecular biology
#3,668
of 13,207 outputs
Outputs of similar age
#220,383
of 442,643 outputs
Outputs of similar age from Methods in molecular biology
#352
of 1,499 outputs
Altmetric has tracked 23,092,602 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,207 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 70% 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 442,643 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
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 gotten more attention than average, scoring higher than 74% of its contemporaries.