↓ Skip to main content

Differentiation of Acinetobacter Genomic Species 13BJ/14TU from Acinetobacter haemolyticus by Use of Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry (MALDI-TOF MS)

Overview of attention for article published in Journal of Clinical Microbiology, July 2015
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
29 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Differentiation of Acinetobacter Genomic Species 13BJ/14TU from Acinetobacter haemolyticus by Use of Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry (MALDI-TOF MS)
Published in
Journal of Clinical Microbiology, July 2015
DOI 10.1128/jcm.03468-14
Pubmed ID
Authors

Benjamin E. W. Toh, Hosam M. Zowawi, Lenka Krizova, David L. Paterson, Witchuda Kamolvit, Anton Y. Peleg, Hanna Sidjabat, Alexandr Nemec, Valentin Pflüger, Charlotte A. Huber

Abstract

Acinetobacter genomic species 13BJ/14TU encompasses intrinsically colistin-resistant strains that are hard to differentiate from Acinetobacter haemolyticus using routine diagnostic approaches. In this paper, we demonstrate the ability of MALDI - TOF mass spectrometry to differentiate and identify the two species.

X Demographics

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.
Mendeley readers

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 %
Student > Ph. D. Student 6 21%
Researcher 3 10%
Student > Doctoral Student 2 7%
Lecturer > Senior Lecturer 2 7%
Student > Master 2 7%
Other 4 14%
Unknown 10 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 21%
Agricultural and Biological Sciences 3 10%
Immunology and Microbiology 3 10%
Medicine and Dentistry 2 7%
Computer Science 1 3%
Other 3 10%
Unknown 11 38%
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 23 September 2015.
All research outputs
#20,656,820
of 25,374,647 outputs
Outputs from Journal of Clinical Microbiology
#13,297
of 14,318 outputs
Outputs of similar age
#201,514
of 275,426 outputs
Outputs of similar age from Journal of Clinical Microbiology
#83
of 124 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,318 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one is in the 3rd percentile – i.e., 3% 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 275,426 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 124 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.