| Title |
Automated Detection of Healthcare Associated Infections: External Validation and Updating of a Model for Surveillance of Drain-Related Meningitis
|
|---|---|
| Published in |
PLOS ONE, December 2012
|
| DOI | 10.1371/journal.pone.0051509 |
| Pubmed ID | |
| Authors |
Maaike S. M. van Mourik, Karel G. M. Moons, Wouter W. van Solinge, Jan-Willem Berkelbach-van der Sprenkel, Luca Regli, Annet Troelstra, Marc J. M. Bonten |
| Abstract |
Automated surveillance of healthcare-associated infections can improve efficiency and reliability of surveillance. The aim was to validate and update a previously developed multivariable prediction model for the detection of drain-related meningitis (DRM). |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
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 % |
|---|---|---|
| Spain | 1 | 3% |
| Australia | 1 | 3% |
| Unknown | 37 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 15% |
| Student > Doctoral Student | 6 | 15% |
| Professor > Associate Professor | 5 | 13% |
| Student > Master | 4 | 10% |
| Student > Bachelor | 3 | 8% |
| Other | 6 | 15% |
| Unknown | 9 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 31% |
| Business, Management and Accounting | 2 | 5% |
| Psychology | 2 | 5% |
| Engineering | 2 | 5% |
| Neuroscience | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 13 | 33% |