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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
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Published in |
BMC Medical Informatics and Decision Making, February 2005
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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 206 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 | 201 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 34 | 17% |
Student > Ph. D. Student | 31 | 15% |
Researcher | 23 | 11% |
Student > Bachelor | 19 | 9% |
Student > Postgraduate | 15 | 7% |
Other | 46 | 22% |
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 | 44 | 21% |
Unknown | 47 | 23% |