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Characterization of Pseudomonas aeruginosa with discrepant carbapenem susceptibility profile

Overview of attention for article published in Annals of Clinical Microbiology and Antimicrobials, February 2016
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Title
Characterization of Pseudomonas aeruginosa with discrepant carbapenem susceptibility profile
Published in
Annals of Clinical Microbiology and Antimicrobials, February 2016
DOI 10.1186/s12941-016-0127-3
Pubmed ID
Authors

Agila K. Pragasam, M. Raghanivedha, Shalini Anandan, Balaji Veeraraghavan

Abstract

Pseudomonas aeruginosa is the most common nosocomial pathogen, notorious for its multidrug resistance and causes life threatening infections. Carbapenems were considered as the last resort of drugs for the treatment of multi drug resistant P. aeruginosa infections. The emergence of resistance to carbapenems limits its use for treatment. Unlike other organisms, in P. aeruginosa intrinsic/chromosomal mediated resistance mechanisms plays a major role for carbapenem resistance rather than the carbapenemases. Carbapenemase producing organisms becomes resistant to both imipenem and meropenem. However, in our clinical settings, we have observed rare carbapenem resistant phenotypes such as imipenem resistant but meropenem susceptible (IRMS) and meropenem resistant but imipenem susceptible (MRIS) phenotypes. Thus we have chosen these rare phenotypes to look for the respective resistance mechanisms by phenotypic and molecular methods. From this study we found that, IRMS is primarily due to the mutations across various regions in the loops of oprD gene and MRIS is due to the over expression of mexAB efflux pumps. This study results confirms that, this rare phenotypes are due to the intrinsic/chromosomal mediated mechanisms, which occurred due to the antibiotic selection pressure. This study also provided data concerning alterations in outer membrane permeability which is often associated with the increased levels of antibiotic efflux. Consequently, this study provided the prevalence of the various resistance mechanisms that have deployed by the organism to resist antibiotics through different phenotypes.

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The data shown below were collected from the profiles of 5 X users 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 15%
Student > Master 11 15%
Student > Ph. D. Student 10 14%
Student > Bachelor 7 10%
Student > Doctoral Student 5 7%
Other 9 13%
Unknown 19 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 19%
Agricultural and Biological Sciences 10 14%
Immunology and Microbiology 10 14%
Medicine and Dentistry 8 11%
Pharmacology, Toxicology and Pharmaceutical Science 6 8%
Other 5 7%
Unknown 19 26%
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 14 December 2019.
All research outputs
#7,206,403
of 23,509,982 outputs
Outputs from Annals of Clinical Microbiology and Antimicrobials
#142
of 620 outputs
Outputs of similar age
#98,024
of 300,320 outputs
Outputs of similar age from Annals of Clinical Microbiology and Antimicrobials
#9
of 15 outputs
Altmetric has tracked 23,509,982 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 620 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done well, scoring higher than 75% 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 300,320 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 66% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.