| Title |
Prevalence dependent calibration of a predictive model for nasal carriage of methicillin-resistant Staphylococcus aureus
|
|---|---|
| Published in |
BMC Infectious Diseases, February 2013
|
| DOI | 10.1186/1471-2334-13-111 |
| Pubmed ID | |
| Authors |
Johannes Elias, Peter U Heuschmann, Corinna Schmitt, Frithjof Eckhardt, Hartmut Boehm, Sebastian Maier, Annette Kolb-Mäurer, Hubertus Riedmiller, Wolfgang Müllges, Christoph Weisser, Christian Wunder, Matthias Frosch, Ulrich Vogel |
| Abstract |
Published models predicting nasal colonization with Methicillin-resistant Staphylococcus aureus among hospital admissions predominantly focus on separation of carriers from non-carriers and are frequently evaluated using measures of discrimination. In contrast, accurate estimation of carriage probability, which may inform decisions regarding treatment and infection control, is rarely assessed. Furthermore, no published models adjust for MRSA prevalence. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Spain | 1 | 2% |
| Italy | 1 | 2% |
| Switzerland | 1 | 2% |
| Unknown | 53 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 18% |
| Student > Ph. D. Student | 8 | 14% |
| Student > Bachelor | 6 | 11% |
| Student > Doctoral Student | 6 | 11% |
| Student > Master | 6 | 11% |
| Other | 13 | 23% |
| Unknown | 8 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 42% |
| Nursing and Health Professions | 5 | 9% |
| Immunology and Microbiology | 4 | 7% |
| Agricultural and Biological Sciences | 3 | 5% |
| Psychology | 2 | 4% |
| Other | 7 | 12% |
| Unknown | 12 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 January 2014.
All research outputs
#18,331,227
of 22,699,621 outputs
Outputs from BMC Infectious Diseases
#5,561
of 7,644 outputs
Outputs of similar age
#146,758
of 192,986 outputs
Outputs of similar age from BMC Infectious Diseases
#124
of 163 outputs
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