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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Estimating heritability from twin studies.
|
|---|---|
| Chapter number | 9 |
| Book title |
Statistical Human Genetics
|
| Published in |
Methods in molecular biology, January 2012
|
| DOI | 10.1007/978-1-61779-555-8_9 |
| Pubmed ID | |
| Book ISBNs |
978-1-61779-554-1, 978-1-61779-555-8
|
| Authors |
Karin J. H. Verweij, Miriam A. Mosing, Brendan P. Zietsch, Sarah E. Medland, Verweij, Karin J. H., Mosing, Miriam A., Zietsch, Brendan P., Medland, Sarah E. |
| Abstract |
This chapter describes how the heritability of a trait can be estimated using data collected from pairs of twins. The principles of the classical twin design are described, followed by the assumptions and possible extensions of the design. In the second part of this chapter, two example scripts are presented and described, explaining the basic steps for estimating heritability using the statistical program OpenMx. OpenMx and the scripts used for this chapter can be downloaded so that readers can adapt and use the scripts for their own purposes. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 29% |
| Student > Bachelor | 5 | 12% |
| Researcher | 5 | 12% |
| Student > Master | 3 | 7% |
| Student > Doctoral Student | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 11 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 21% |
| Agricultural and Biological Sciences | 6 | 14% |
| Psychology | 5 | 12% |
| Medicine and Dentistry | 3 | 7% |
| Social Sciences | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 11 | 26% |
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 07 February 2012.
All research outputs
#18,304,230
of 22,662,201 outputs
Outputs from Methods in molecular biology
#7,811
of 13,021 outputs
Outputs of similar age
#195,924
of 244,049 outputs
Outputs of similar age from Methods in molecular biology
#325
of 473 outputs
Altmetric has tracked 22,662,201 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 13,021 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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We're also able to compare this research output to 473 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.