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Mendeley readers
| Title |
Variation ontology: annotator guide
|
|---|---|
| Published in |
Journal of Biomedical Semantics, February 2014
|
| DOI | 10.1186/2041-1480-5-9 |
| Pubmed ID | |
| Authors |
Mauno Vihinen |
| Abstract |
Systematic representation of information related to genetic and non-genetic variations is required to allow large scale studies, data mining and data integration, and to make it possible to reveal novel relationships between genotype and phenotype. Although lots of variation data is available it is often difficult to use due to lack of systematics. |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 5% |
| Sweden | 1 | 5% |
| Mexico | 1 | 5% |
| Japan | 1 | 5% |
| United States | 1 | 5% |
| Unknown | 14 | 74% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 32% |
| Student > Ph. D. Student | 4 | 21% |
| Professor | 2 | 11% |
| Professor > Associate Professor | 2 | 11% |
| Lecturer | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 2 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 32% |
| Biochemistry, Genetics and Molecular Biology | 4 | 21% |
| Computer Science | 2 | 11% |
| Medicine and Dentistry | 2 | 11% |
| Mathematics | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 3 | 16% |