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Evaluation of a Rapid, Quantitative Real-Time PCR Method for Enumeration of Pathogenic Candida Cells in Water

Overview of attention for article published in Applied and Environmental Microbiology, March 2003
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

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1 policy source
patent
1 patent

Citations

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133 Dimensions

Readers on

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135 Mendeley
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Title
Evaluation of a Rapid, Quantitative Real-Time PCR Method for Enumeration of Pathogenic Candida Cells in Water
Published in
Applied and Environmental Microbiology, March 2003
DOI 10.1128/aem.69.3.1775-1782.2003
Pubmed ID
Authors

Nichole E. Brinkman, Richard A. Haugland, Larry J. Wymer, Muruleedhara Byappanahalli, Richard L. Whitman, Stephen J. Vesper

Abstract

Quantitative PCR (QPCR) technology, incorporating fluorigenic 5' nuclease (TaqMan) chemistry, was utilized for the specific detection and quantification of six pathogenic species of Candida (C. albicans, C. tropicalis, C. krusei, C. parapsilosis, C. glabrata and C. lusitaniae) in water. Known numbers of target cells were added to distilled and tap water samples, filtered, and disrupted directly on the membranes for recovery of DNA for QPCR analysis. The assay's sensitivities were between one and three cells per filter. The accuracy of the cell estimates was between 50 and 200% of their true value (95% confidence level). In similar tests with surface water samples, the presence of PCR inhibitory compounds necessitated further purification and/or dilution of the DNA extracts, with resultant reductions in sensitivity but generally not in quantitative accuracy. Analyses of a series of freshwater samples collected from a recreational beach showed positive correlations between the QPCR results and colony counts of the corresponding target species. Positive correlations were also seen between the cell quantities of the target Candida species detected in these analyses and colony counts of Enterococcus organisms. With a combined sample processing and analysis time of less than 4 h, this method shows great promise as a tool for rapidly assessing potential exposures to waterborne pathogenic Candida species from drinking and recreational waters and may have applications in the detection of fecal pollution.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 6%
United Kingdom 3 2%
Italy 1 <1%
Germany 1 <1%
Belgium 1 <1%
Canada 1 <1%
Japan 1 <1%
Spain 1 <1%
Unknown 118 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 21%
Student > Master 20 15%
Student > Ph. D. Student 19 14%
Student > Doctoral Student 9 7%
Professor 9 7%
Other 26 19%
Unknown 24 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 41%
Environmental Science 19 14%
Biochemistry, Genetics and Molecular Biology 9 7%
Engineering 8 6%
Medicine and Dentistry 5 4%
Other 11 8%
Unknown 27 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 07 July 2022.
All research outputs
#4,698,247
of 22,797,621 outputs
Outputs from Applied and Environmental Microbiology
#3,852
of 17,254 outputs
Outputs of similar age
#8,445
of 49,698 outputs
Outputs of similar age from Applied and Environmental Microbiology
#29
of 113 outputs
Altmetric has tracked 22,797,621 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,254 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has gotten more attention than average, scoring higher than 64% 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 49,698 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 71% of its contemporaries.
We're also able to compare this research output to 113 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 53% of its contemporaries.