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Mendeley readers
| Title |
Comparison of artificial neural network and logistic regression models for prediction of mortality in head trauma based on initial clinical data
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, February 2005
|
| DOI | 10.1186/1472-6947-5-3 |
| Pubmed ID | |
| Authors |
Behzad Eftekhar, Kazem Mohammad, Hassan Eftekhar Ardebili, Mohammad Ghodsi, Ebrahim Ketabchi |
Mendeley readers
The data shown below were compiled from readership statistics for 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | <1% |
| Brazil | 1 | <1% |
| Czechia | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 202 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 34 | 16% |
| Student > Ph. D. Student | 31 | 15% |
| Researcher | 23 | 11% |
| Student > Bachelor | 19 | 9% |
| Student > Postgraduate | 15 | 7% |
| Other | 47 | 23% |
| Unknown | 38 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 51 | 25% |
| Computer Science | 27 | 13% |
| Engineering | 20 | 10% |
| Business, Management and Accounting | 9 | 4% |
| Mathematics | 8 | 4% |
| Other | 45 | 22% |
| Unknown | 47 | 23% |