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Mendeley readers
| Title |
Automatically transforming pre- to post-composed phenotypes: EQ-lising HPO and MP
|
|---|---|
| Published in |
Journal of Biomedical Semantics, October 2013
|
| DOI | 10.1186/2041-1480-4-29 |
| Pubmed ID | |
| Authors |
Anika Oellrich, Christoph Grabmüller, Dietrich Rebholz-Schuhmann |
| Abstract |
Large-scale mutagenesis projects are ongoing to improve our understanding about the pathology and subsequently the treatment of diseases. Such projects do not only record the genotype but also report phenotype descriptions of the genetically modified organisms under investigation. Thus far, phenotype data is stored in species-specific databases that lack coherence and interoperability in their phenotype representations. One suggestion to overcome the lack of integration are Entity-Quality (EQ) statements. However, a reliable automated transformation of the phenotype annotations from the databases into EQ statements is still missing. |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 6% |
| United States | 1 | 6% |
| Unknown | 16 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 28% |
| Student > Bachelor | 3 | 17% |
| Student > Ph. D. Student | 3 | 17% |
| Student > Postgraduate | 2 | 11% |
| Professor > Associate Professor | 2 | 11% |
| Other | 2 | 11% |
| Unknown | 1 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 50% |
| Computer Science | 3 | 17% |
| Engineering | 2 | 11% |
| Veterinary Science and Veterinary Medicine | 1 | 6% |
| Social Sciences | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 1 | 6% |