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Genotypic characterization of Streptococcus pneumoniae serotype 19F in Malaysia

Overview of attention for article published in Infection, Genetics & Evolution, December 2013
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Title
Genotypic characterization of Streptococcus pneumoniae serotype 19F in Malaysia
Published in
Infection, Genetics & Evolution, December 2013
DOI 10.1016/j.meegid.2013.11.026
Pubmed ID
Authors

Jayakayatri Jeevajothi Nathan, Mohd Nasir Mohd Desa, Kwai Lin Thong, Stuart C. Clarke, Siti Norbaya Masri, Rohani Md Yasin, Niazlin Mohd Taib

Abstract

Streptococcus pneumoniae is an epidemiologically important bacterial pathogen. Recently, we reported the antibiotic susceptibility patterns of a limited collection of pneumococcal isolates in Malaysia with a high prevalence of erythromycin resistant strains. In the present study, 55 of the pneumococcal isolates of serotype 19F were further analysed by pulsed field gel electrophoresis (PFGE) and multilocus sequence typing (MLST). The generated genotypic patterns were then correlated with the antibiograms previously reported. Forty-seven different PFGE profiles (PTs) were obtained, showing that the isolates were genetically diverse. MLST identified 16 sequence types (STs) with ST-236 being predominant (58.2%), followed by ST-81 (10.3%). Among the ST-236 isolates, 22 were erythromycin resistant S. pneumoniae (ERSP) and 15 were trimethoprim/sulfamethoxazole (TMP/SMX) resistant, while among ST-81, four isolates were ERSP and two were TMP/SMX resistant. The high prevalence of erythromycin resistant serotype 19F isolates of ST-236 in this study has also been reported in other North and South East Asian countries.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
Unknown 42 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 14%
Student > Ph. D. Student 5 12%
Student > Bachelor 5 12%
Lecturer 4 9%
Student > Master 4 9%
Other 7 16%
Unknown 12 28%
Readers by discipline Count As %
Medicine and Dentistry 10 23%
Immunology and Microbiology 6 14%
Biochemistry, Genetics and Molecular Biology 3 7%
Agricultural and Biological Sciences 3 7%
Environmental Science 2 5%
Other 4 9%
Unknown 15 35%
Attention Score in Context

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 17 January 2015.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Infection, Genetics & Evolution
#2,442
of 2,978 outputs
Outputs of similar age
#282,820
of 321,427 outputs
Outputs of similar age from Infection, Genetics & Evolution
#31
of 39 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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