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Real-time comparative evaluation of bioMerieux VITEK MS versus Bruker Microflex MS, two matrix-assisted laser desorption-ionization time-of-flight mass spectrometry systems, for identification of…

Overview of attention for article published in BMC Microbiology, November 2014
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  • High Attention Score compared to outputs of the same age and source (86th percentile)

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Title
Real-time comparative evaluation of bioMerieux VITEK MS versus Bruker Microflex MS, two matrix-assisted laser desorption-ionization time-of-flight mass spectrometry systems, for identification of clinically significant bacteria
Published in
BMC Microbiology, November 2014
DOI 10.1186/s12866-014-0289-0
Pubmed ID
Authors

Wafaa Jamal, M John Albert, Vincent O Rotimi

Abstract

BackgroundMatrix-assisted laser desorption-ionization time-of-flight mass spectrometry (MALDI-TOF MS) recently became available for the identification of bacteria in routine diagnostic laboratories. It is rapid and cost-effective and likely to replace phenotypic identification. This study was undertaken to compare two MALDI-TOF MS-based, Bruker Microflex MS (BMS) and VITEK MS (VMS) systems, for identification (ID) of clinically significant bacterial isolates. Clinically relevant broad diversity of bacterial isolates obtained during a 6-consecutive months of routine laboratory processing of clinical specimens were subjected to ID by the BMS and VMS in parallel with Vitek 2, a conventional phenotypic system (CPS). For the BMS, the isolates were tested in duplicates directly and after pretreatment. Identification was provided with accompanying scores according to manufacturers¿ instructions. With VMS, single deposits of the same sets of isolates were tested in duplicates directly on MALDI-plate. Results were interpreted according to the manufacturer¿s protocols. Discrepant results were resolved by 16S rRNA gene amplification and sequencing.ResultsA total of 806 pathogens comprising 507 Gram-negative bacilli (GNB), 16 Gram-negative cocci (GNC), 267 Gram-positive cocci (GPC), and 16 Gram-positive bacilli (GPB) were tested. BMS and VMS correctly identified isolates to genus and species levels (ID 97.3% and 93.2%, and 99.8% and 99.0%, respectively). Both systems as well as the CPS correctly identified the majority of the species in the family Enterobacteriaceae, Pseudomonas spp., and Acinetobacter baumannii. Turnaround time for identification by BMS and VMS was <20 min compared with 24-48 h by the CPS.ConclusionsVMS performed slightly better than BMS with GPC ID, especially the Streptococcus spp. Some S. mitis isolates were identified as S. pneumoniae by BMS. BMS and VMS were rapid and proved to be consistently accurate for producing bacterial identification in a fraction of time it takes for identification by CPS.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 1 1%
Slovenia 1 1%
Brazil 1 1%
Unknown 78 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 16 20%
Other 9 11%
Student > Ph. D. Student 6 7%
Student > Doctoral Student 5 6%
Researcher 5 6%
Other 19 23%
Unknown 21 26%
Readers by discipline Count As %
Medicine and Dentistry 18 22%
Agricultural and Biological Sciences 12 15%
Biochemistry, Genetics and Molecular Biology 7 9%
Immunology and Microbiology 5 6%
Chemistry 4 5%
Other 12 15%
Unknown 23 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 16 October 2015.
All research outputs
#6,451,039
of 22,914,829 outputs
Outputs from BMC Microbiology
#718
of 3,197 outputs
Outputs of similar age
#89,822
of 361,913 outputs
Outputs of similar age from BMC Microbiology
#9
of 58 outputs
Altmetric has tracked 22,914,829 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 3,197 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 76% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 361,913 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.