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Mendeley readers
| Title |
Thematic issue of the Second combined Bio-ontologies and Phenotypes Workshop
|
|---|---|
| Published in |
Journal of Biomedical Semantics, December 2016
|
| DOI | 10.1186/s13326-016-0108-7 |
| Pubmed ID | |
| Authors |
Karin Verspoor, Anika Oellrich, Nigel Collier, Tudor Groza, Philippe Rocca-Serra, Larisa Soldatova, Michel Dumontier, Nigam Shah |
| Abstract |
This special issue covers selected papers from the 18th Bio-Ontologies Special Interest Group meeting and Phenotype Day, which took place at the Intelligent Systems for Molecular Biology (ISMB) conference in Dublin in 2015. The papers presented in this collection range from descriptions of software tools supporting ontology development and annotation of objects with ontology terms, to applications of text mining for structured relation extraction involving diseases and phenotypes, to detailed proposals for new ontologies and mapping of existing ontologies. Together, the papers consider a range of representational issues in bio-ontology development, and demonstrate the applicability of bio-ontologies to support biological and clinical knowledge-based decision making and analysis.The full set of papers in the Thematic Issue is available at http://www.biomedcentral.com/collections/sig . |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 8% |
| Unknown | 11 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 25% |
| Professor > Associate Professor | 2 | 17% |
| Professor | 1 | 8% |
| Other | 1 | 8% |
| Researcher | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 3 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2 | 17% |
| Computer Science | 2 | 17% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 8% |
| Decision Sciences | 1 | 8% |
| Chemistry | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 4 | 33% |