| Title |
Multilocus sequence typing and ftsI sequencing: a powerful tool for surveillance of penicillin-binding protein 3-mediated beta-lactam resistance in nontypeable Haemophilus influenzae
|
|---|---|
| Published in |
BMC Microbiology, May 2014
|
| DOI | 10.1186/1471-2180-14-131 |
| Pubmed ID | |
| Authors |
Dagfinn Skaare, Inger Lill Anthonisen, Dominique A Caugant, Andrew Jenkins, Martin Steinbakk, Linda Strand, Arnfinn Sundsfjord, Yngvar Tveten, Bjørn-Erik Kristiansen |
| Abstract |
Beta-lactam resistance in Haemophilus influenzae due to ftsI mutations causing altered penicillin-binding protein 3 (PBP3) is increasing worldwide. Low-level resistant isolates with the N526K substitution (group II low-rPBP3) predominate in most geographical regions, while high-level resistant isolates with the additional S385T substitution (group III high-rPBP3) are common in Japan and South Korea.Knowledge about the molecular epidemiology of rPBP3 strains is limited. We combined multilocus sequence typing (MLST) and ftsI/PBP3 typing to study the emergence and spread of rPBP3 in nontypeable H. influenzae (NTHi) in Norway. |
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 % |
|---|---|---|
| Norway | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 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% |
| Unknown | 62 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 20% |
| Student > Ph. D. Student | 8 | 13% |
| Student > Master | 8 | 13% |
| Student > Bachelor | 8 | 13% |
| Student > Postgraduate | 5 | 8% |
| Other | 10 | 16% |
| Unknown | 12 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 28% |
| Agricultural and Biological Sciences | 8 | 13% |
| Biochemistry, Genetics and Molecular Biology | 8 | 13% |
| Immunology and Microbiology | 5 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 6% |
| Other | 8 | 13% |
| Unknown | 13 | 20% |
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 31 May 2014.
All research outputs
#17,286,645
of 25,374,917 outputs
Outputs from BMC Microbiology
#1,937
of 3,489 outputs
Outputs of similar age
#144,359
of 240,004 outputs
Outputs of similar age from BMC Microbiology
#37
of 72 outputs
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