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Multilocus sequence typing and ftsI sequencing: a powerful tool for surveillance of penicillin-binding protein 3-mediated beta-lactam resistance in nontypeable Haemophilus influenzae

Overview of attention for article published in BMC Microbiology, January 2014
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1 tweeter

Citations

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Readers on

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41 Mendeley
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, January 2014
DOI 10.1186/1471-2180-14-131
Pubmed ID
Authors

Dagfinn Skaare, Inger 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.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 41 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 39 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 27%
Student > Ph. D. Student 7 17%
Student > Bachelor 5 12%
Student > Master 5 12%
Other 4 10%
Other 7 17%
Unknown 2 5%
Readers by discipline Count As %
Medicine and Dentistry 13 32%
Agricultural and Biological Sciences 7 17%
Immunology and Microbiology 3 7%
Environmental Science 3 7%
Biochemistry, Genetics and Molecular Biology 3 7%
Other 10 24%
Unknown 2 5%

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
#2,136,305
of 3,821,406 outputs
Outputs from BMC Microbiology
#400
of 775 outputs
Outputs of similar age
#49,829
of 94,594 outputs
Outputs of similar age from BMC Microbiology
#30
of 59 outputs
Altmetric has tracked 3,821,406 research outputs across all sources so far. This one is in the 25th percentile – i.e., 25% of other outputs scored the same or lower than it.
So far Altmetric has tracked 775 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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