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Rapid PCR/ESI-MS-based molecular genotyping of Staphylococcus aureusfrom nasal swabs of emergency department patients

Overview of attention for article published in BMC Infectious Diseases, January 2014
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Mentioned by

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1 tweeter

Citations

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6 Dimensions

Readers on

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29 Mendeley
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Title
Rapid PCR/ESI-MS-based molecular genotyping of Staphylococcus aureusfrom nasal swabs of emergency department patients
Published in
BMC Infectious Diseases, January 2014
DOI 10.1186/1471-2334-14-16
Pubmed ID
Authors

Aleksandar Kecojevic, Ray Ranken, David J Ecker, Christian Massire, Rangarajan Sampath, Lawrence B Blyn, Yu-Hsiang Hsieh, Richard E Rothman, Charlotte A Gaydos

Abstract

A limitation of both culture-based and molecular methods of screening for staphylococcal infection is that current tests determine only the presence or absence of colonization with no information on the colonizing strain type. A technique that couples polymerase chain reaction to mass spectrometry (PCR/ESI-MS) has recently been developed and an assay validated to identify and genotype S. aureus and coagulase-negative staphylococci (CoNS).

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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 24%
Student > Master 6 21%
Student > Postgraduate 3 10%
Student > Ph. D. Student 3 10%
Professor 2 7%
Other 8 28%
Readers by discipline Count As %
Medicine and Dentistry 8 28%
Agricultural and Biological Sciences 7 24%
Environmental Science 2 7%
Immunology and Microbiology 2 7%
Social Sciences 1 3%
Other 5 17%
Unknown 4 14%

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 2014.
All research outputs
#12,488,132
of 14,123,042 outputs
Outputs from BMC Infectious Diseases
#4,479
of 5,286 outputs
Outputs of similar age
#203,778
of 245,823 outputs
Outputs of similar age from BMC Infectious Diseases
#7
of 9 outputs
Altmetric has tracked 14,123,042 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.
So far Altmetric has tracked 5,286 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 245,823 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.