Genetic Epidemiology
Springer New York
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Gene-Gene and Gene-Environment Interactions
|
|---|---|
| Book title |
Genetic Epidemiology
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7868-7_7 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7867-0, 978-1-4939-7868-7
|
| Authors |
Andrew T. DeWan |
| Abstract |
Identifying gene-gene and gene-environment interactions may help us to better describe the genetic architecture for complex traits. While advances have been made in identifying genetic variants associated with complex traits through more dense panels of genetic variants and larger sample sizes, genome-wide interaction analyses are still limited in power to detect interactions with small effect sizes, rare frequencies, and higher order interactions. This chapter outlines methods for detecting both gene-gene and gene-environment interactions both through explicit tests for interactions (i.e., ones in which the interaction is tested directly) and non-explicit tests (i.e., ones in which an interaction is allowed for in the test, but does not test for the interaction directly) as well as approaches for increasing power by reducing the search space. Issues relating to multiple test correction, replication, and the reporting of interaction results in publications. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 29% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 43% |
| Members of the public | 2 | 29% |
| Practitioners (doctors, other healthcare professionals) | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 5% |
| Unknown | 21 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 23% |
| Researcher | 5 | 23% |
| Student > Ph. D. Student | 4 | 18% |
| Student > Bachelor | 2 | 9% |
| Other | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 4 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 32% |
| Medicine and Dentistry | 4 | 18% |
| Social Sciences | 2 | 9% |
| Agricultural and Biological Sciences | 1 | 5% |
| Mathematics | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 6 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 14 June 2018.
All research outputs
#7,322,668
of 23,090,520 outputs
Outputs from Methods in molecular biology
#2,224
of 13,206 outputs
Outputs of similar age
#148,126
of 442,629 outputs
Outputs of similar age from Methods in molecular biology
#214
of 1,499 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
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 82% 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 65% 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 84% of its contemporaries.