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Mendeley readers
| Title |
Imputation reliability on DNA biallelic markers for drug metabolism studies
|
|---|---|
| Published in |
BMC Bioinformatics, September 2012
|
| DOI | 10.1186/1471-2105-13-s14-s7 |
| Pubmed ID | |
| Authors |
Vladan Mijatovic, Ilaria Iacobucci, Marco Sazzini, Luciano Xumerle, Antonio Mori, Pier Franco Pignatti, Giovanni Martinelli, Giovanni Malerba |
| Abstract |
Imputation is a statistical process used to predict genotypes of loci not directly assayed in a sample of individuals. Our goal is to measure the performance of imputation in predicting the genotype of the best known gene polymorphisms involved in drug metabolism using a common SNP array genotyping platform generally exploited in genome wide association studies. |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 12% |
| United States | 1 | 6% |
| Brazil | 1 | 6% |
| Unknown | 13 | 76% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 5 | 29% |
| Researcher | 4 | 24% |
| Student > Ph. D. Student | 2 | 12% |
| Other | 2 | 12% |
| Student > Doctoral Student | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 2 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 35% |
| Agricultural and Biological Sciences | 5 | 29% |
| Mathematics | 1 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 2 | 12% |