You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Chapter title |
Genomic Annotation Resources in R/Bioconductor
|
|---|---|
| Chapter number | 4 |
| Book title |
Statistical Genomics
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3578-9_4 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3576-5, 978-1-4939-3578-9
|
| Authors |
Marc R. J. Carlson, Hervé Pagès, Sonali Arora, Valerie Obenchain, Martin Morgan, Carlson, Marc R. J., Pagès, Hervé, Arora, Sonali, Obenchain, Valerie, Morgan, Martin |
| Editors |
Ewy Mathé, Sean Davis |
| Abstract |
Annotation resources make up a significant proportion of the Bioconductor project (Huber et al., Nat Methods 12:115-121, 2015). And there are also a diverse set of online resources available which are accessed using specific packages. Here we describe the most popular of these resources and give some high level examples on how to use them. |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 9% |
| Germany | 1 | 9% |
| Unknown | 9 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 36% |
| Researcher | 2 | 18% |
| Professor | 1 | 9% |
| Student > Doctoral Student | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 1 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 27% |
| Agricultural and Biological Sciences | 2 | 18% |
| Mathematics | 1 | 9% |
| Medicine and Dentistry | 1 | 9% |
| Neuroscience | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 2 | 18% |