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
| Title |
An ontology-guided semantic data integration framework to support integrative data analysis of cancer survival
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, July 2018
|
| DOI | 10.1186/s12911-018-0636-4 |
| Pubmed ID | |
| Authors |
Hansi Zhang, Yi Guo, Qian Li, Thomas J. George, Elizabeth Shenkman, François Modave, Jiang Bian |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 112 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 19% |
| Student > Master | 18 | 16% |
| Researcher | 11 | 10% |
| Student > Doctoral Student | 6 | 5% |
| Student > Bachelor | 5 | 4% |
| Other | 18 | 16% |
| Unknown | 33 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 39 | 35% |
| Medicine and Dentistry | 7 | 6% |
| Social Sciences | 5 | 4% |
| Engineering | 5 | 4% |
| Biochemistry, Genetics and Molecular Biology | 4 | 4% |
| Other | 14 | 13% |
| Unknown | 38 | 34% |