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Mendeley readers
| Title |
Classification of positive blood cultures: computer algorithms versus physicians' assessment - development of tools for surveillance of bloodstream infection prognosis using population-based laboratory databases
|
|---|---|
| Published in |
BMC Medical Research Methodology, September 2012
|
| DOI | 10.1186/1471-2288-12-139 |
| Pubmed ID | |
| Authors |
Kim O Gradel, Jenny Dahl Knudsen, Magnus Arpi, Christian Østergaard, Henrik C Schønheyder, Mette Søgaard, for the Danish Collaborative Bacteraemia Network (DACOBAN) |
| Abstract |
Information from blood cultures is utilized for infection control, public health surveillance, and clinical outcome research. This information can be enriched by physicians' assessments of positive blood cultures, which are, however, often available from selected patient groups or pathogens only. The aim of this work was to determine whether patients with positive blood cultures can be classified effectively for outcome research in epidemiological studies by the use of administrative data and computer algorithms, taking physicians' assessments as reference. |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iceland | 1 | 3% |
| Denmark | 1 | 3% |
| Unknown | 37 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 21% |
| Other | 7 | 18% |
| Student > Bachelor | 4 | 10% |
| Student > Master | 4 | 10% |
| Researcher | 4 | 10% |
| Other | 2 | 5% |
| Unknown | 10 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 49% |
| Immunology and Microbiology | 4 | 10% |
| Nursing and Health Professions | 2 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Social Sciences | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 11 | 28% |