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Mendeley readers
| Title |
Evaluating semantic similarity methods for comparison of text-derived phenotype profiles
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, February 2022
|
| DOI | 10.1186/s12911-022-01770-4 |
| Pubmed ID | |
| Authors |
Luke T. Slater, Sophie Russell, Silver Makepeace, Alexander Carberry, Andreas Karwath, John A. Williams, Hilary Fanning, Simon Ball, Robert Hoehndorf, Georgios V. Gkoutos |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 2 | 13% |
| Unspecified | 1 | 7% |
| Librarian | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Professor | 1 | 7% |
| Other | 2 | 13% |
| Unknown | 7 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 20% |
| Linguistics | 1 | 7% |
| Unspecified | 1 | 7% |
| Agricultural and Biological Sciences | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 8 | 53% |