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Mendeley readers
| Title |
A visual interactive analytic tool for filtering and summarizing large health data sets coded with hierarchical terminologies (VIADS)
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, February 2019
|
| DOI | 10.1186/s12911-019-0750-y |
| Pubmed ID | |
| Authors |
Xia Jing, Matthew Emerson, David Masters, Matthew Brooks, Jacob Buskirk, Nasseef Abukamail, Chang Liu, James J. Cimino, Jay Shubrook, Sonsoles De Lacalle, Yuchun Zhou, Vimla L. Patel |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 15% |
| Researcher | 6 | 11% |
| Student > Ph. D. Student | 5 | 9% |
| Other | 4 | 7% |
| Professor | 3 | 5% |
| Other | 7 | 13% |
| Unknown | 22 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 18% |
| Medicine and Dentistry | 6 | 11% |
| Business, Management and Accounting | 2 | 4% |
| Psychology | 2 | 4% |
| Nursing and Health Professions | 2 | 4% |
| Other | 9 | 16% |
| Unknown | 24 | 44% |