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Application of the multifactor dimensionality reduction method in evaluation of the roles of multiple genes/enzymes in multidrug-resistant acquisition in Pseudomonas aeruginosa strains

Overview of attention for article published in Epidemiology & Infection, August 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

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4 X users

Citations

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2 Dimensions

Readers on

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18 Mendeley
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Title
Application of the multifactor dimensionality reduction method in evaluation of the roles of multiple genes/enzymes in multidrug-resistant acquisition in Pseudomonas aeruginosa strains
Published in
Epidemiology & Infection, August 2015
DOI 10.1017/s0950268815001788
Pubmed ID
Authors

Z. YAO, Y. PENG, J. BI, C. XIE, X. CHEN, Y. LI, X. YE, J. ZHOU

Abstract

Multidrug-resistant Pseudomonas aeruginosa (MDRPA) infections are major threats to healthcare-associated infection control and the intrinsic molecular mechanisms of MDRPA are also unclear. We examined 348 isolates of P. aeruginosa, including 188 MDRPA and 160 non-MDRPA, obtained from five tertiary-care hospitals in Guangzhou, China. Significant correlations were found between gene/enzyme carriage and increased rates of antimicrobial resistance (P < 0·01). gyrA mutation, OprD loss and metallo-β-lactamase (MBL) presence were identified as crucial molecular risk factors for MDRPA acquisition by a combination of univariate logistic regression and a multifactor dimensionality reduction approach. The MDRPA rate was also elevated with the increase in positive numbers of those three determinants (P < 0·001). Thus, gyrA mutation, OprD loss and MBL presence may serve as predictors for early screening of MDRPA infections in clinical settings.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 22%
Student > Bachelor 2 11%
Student > Ph. D. Student 2 11%
Lecturer > Senior Lecturer 1 6%
Professor 1 6%
Other 2 11%
Unknown 6 33%
Readers by discipline Count As %
Medicine and Dentistry 5 28%
Agricultural and Biological Sciences 2 11%
Nursing and Health Professions 1 6%
Computer Science 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Other 0 0%
Unknown 8 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 June 2016.
All research outputs
#14,915,476
of 25,377,790 outputs
Outputs from Epidemiology & Infection
#3,173
of 4,680 outputs
Outputs of similar age
#130,215
of 275,744 outputs
Outputs of similar age from Epidemiology & Infection
#20
of 56 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,680 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one is in the 31st percentile – i.e., 31% 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 275,744 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 51% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.