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Mendeley readers
| Title |
A vertex similarity-based framework to discover and rank orphan disease-related genes
|
|---|---|
| Published in |
BMC Systems Biology, December 2012
|
| DOI | 10.1186/1752-0509-6-s3-s8 |
| Pubmed ID | |
| Authors |
Cheng Zhu, Akash Kushwaha, Kenneth Berman, Anil G Jegga |
| Abstract |
A rare or orphan disease (OD) is any disease that affects a small percentage of the population. While opportunities now exist to accelerate progress toward understanding the basis for many more ODs, the prioritization of candidate genes is still a critical step for disease-gene identification. Several network-based frameworks have been developed to address this problem with varied results. |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 23% |
| Researcher | 7 | 23% |
| Student > Bachelor | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Professor > Associate Professor | 3 | 10% |
| Other | 3 | 10% |
| Unknown | 4 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 27% |
| Agricultural and Biological Sciences | 8 | 27% |
| Biochemistry, Genetics and Molecular Biology | 4 | 13% |
| Engineering | 3 | 10% |
| Medicine and Dentistry | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 3 | 10% |