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Mendeley readers
Attention Score in Context
| Chapter title |
Quality control for genome-wide association studies.
|
|---|---|
| Chapter number | 19 |
| Book title |
Genetic Variation
|
| Published in |
Methods in molecular biology, March 2010
|
| DOI | 10.1007/978-1-60327-367-1_19 |
| Pubmed ID | |
| Book ISBNs |
978-1-60327-366-4, 978-1-60327-367-1
|
| Authors |
Weale ME, Michael E. Weale, Weale, Michael E. |
| Abstract |
This chapter is a comprehensive review of quality control (QC) methods for SNP-based genotyping panels used in genome-wide association studies. These include QC on individuals for missingness, gender checks, duplicates and cryptic relatedness, population outliers, heterozygosity and inbreeding, and QC on SNPs for missingness, minor allele frequency and Hardy-Weinberg equilibrium. The emphasis is on the reasons behind each QC step and on the use of intelligent approaches rather than arbitrary QC thresholds. Scripts and code for performing these QC steps are available at www.kcl.ac.uk/mmg/gwascode/ . |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 2 | 2% |
| United Kingdom | 2 | 2% |
| Tanzania, United Republic of | 1 | <1% |
| Australia | 1 | <1% |
| Israel | 1 | <1% |
| Argentina | 1 | <1% |
| Luxembourg | 1 | <1% |
| Unknown | 113 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 33 | 27% |
| Student > Ph. D. Student | 23 | 19% |
| Student > Doctoral Student | 13 | 11% |
| Student > Master | 13 | 11% |
| Student > Bachelor | 12 | 10% |
| Other | 16 | 13% |
| Unknown | 12 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 47 | 39% |
| Medicine and Dentistry | 18 | 15% |
| Biochemistry, Genetics and Molecular Biology | 17 | 14% |
| Computer Science | 6 | 5% |
| Neuroscience | 3 | 2% |
| Other | 10 | 8% |
| Unknown | 21 | 17% |
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 05 June 2013.
All research outputs
#20,196,270
of 22,714,025 outputs
Outputs from Methods in molecular biology
#9,852
of 13,079 outputs
Outputs of similar age
#89,877
of 94,221 outputs
Outputs of similar age from Methods in molecular biology
#19
of 20 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% 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 94,221 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.