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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Using PLINK for Genome-Wide Association Studies (GWAS) and Data Analysis.
|
|---|---|
| Chapter number | 8 |
| Book title |
Genome-Wide Association Studies and Genomic Prediction
|
| Published in |
Methods in molecular biology, May 2013
|
| DOI | 10.1007/978-1-62703-447-0_8 |
| Pubmed ID | |
| Book ISBNs |
978-1-62703-446-3, 978-1-62703-447-0
|
| Authors |
Miguel E. Rentería, Adrian Cortes, Sarah E. Medland |
| Editors |
Cedric Gondro, Julius van der Werf, Ben Hayes |
| Abstract |
Within this chapter we introduce the basic PLINK functions for reading in data, applying quality control, and running association analyses. Three worked examples are provided to illustrate: data management and assessment of population substructure, association analysis of a quantitative trait, and qualitative or case-control association analyses. |
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 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Colombia | 1 | <1% |
| Australia | 1 | <1% |
| Switzerland | 1 | <1% |
| United Kingdom | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 100 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 26% |
| Researcher | 18 | 17% |
| Student > Master | 15 | 14% |
| Student > Bachelor | 9 | 8% |
| Student > Doctoral Student | 7 | 7% |
| Other | 10 | 9% |
| Unknown | 20 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 42% |
| Biochemistry, Genetics and Molecular Biology | 19 | 18% |
| Computer Science | 8 | 7% |
| Medicine and Dentistry | 6 | 6% |
| Social Sciences | 3 | 3% |
| Other | 6 | 6% |
| Unknown | 20 | 19% |
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 13 June 2013.
All research outputs
#18,340,012
of 22,711,645 outputs
Outputs from Methods in molecular biology
#7,851
of 13,079 outputs
Outputs of similar age
#145,535
of 193,691 outputs
Outputs of similar age from Methods in molecular biology
#20
of 32 outputs
Altmetric has tracked 22,711,645 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 13,079 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.
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 193,691 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.