| Title |
IS element IS16 as a molecular screening tool to identify hospital-associated strains of Enterococcus faecium
|
|---|---|
| Published in |
BMC Infectious Diseases, March 2011
|
| DOI | 10.1186/1471-2334-11-80 |
| Pubmed ID | |
| Authors |
Guido Werner, Carola Fleige, Uta Geringer, Willem van Schaik, Ingo Klare, Wolfgang Witte |
| Abstract |
Hospital strains of Enterococcus faecium could be characterized and typed by various molecular methods (MLST, AFLP, MLVA) and allocated to a distinct clonal complex known as MLST CC17. However, these techniques are laborious, time-consuming and cost-intensive. Our aim was to identify hospital E. faecium strains and differentiate them from colonizing and animal variants by a simple, inexpensive and reliable PCR-based screening assay. We describe here performance and predictive value of a single PCR detecting the insertion element, IS16, to identify hospital E. faecium isolates within a collection of 260 strains of hospital, animal and human commensal origins. |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | 1% |
| Spain | 1 | 1% |
| Egypt | 1 | 1% |
| Unknown | 93 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 21% |
| Student > Ph. D. Student | 16 | 17% |
| Student > Master | 16 | 17% |
| Student > Bachelor | 10 | 10% |
| Professor > Associate Professor | 4 | 4% |
| Other | 14 | 15% |
| Unknown | 16 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 31 | 32% |
| Biochemistry, Genetics and Molecular Biology | 15 | 16% |
| Medicine and Dentistry | 9 | 9% |
| Immunology and Microbiology | 8 | 8% |
| Nursing and Health Professions | 2 | 2% |
| Other | 13 | 14% |
| Unknown | 18 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 13 December 2012.
All research outputs
#7,447,868
of 22,769,322 outputs
Outputs from BMC Infectious Diseases
#2,535
of 7,668 outputs
Outputs of similar age
#40,008
of 109,415 outputs
Outputs of similar age from BMC Infectious Diseases
#18
of 33 outputs
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