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Comparison of culture-based, vital stain and PMA-qPCR methods for the quantitative detection of viable hookworm ova

Overview of attention for article published in Water Science & Technology, March 2017
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1 tweeter

Citations

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Title
Comparison of culture-based, vital stain and PMA-qPCR methods for the quantitative detection of viable hookworm ova
Published in
Water Science & Technology, March 2017
DOI 10.2166/wst.2017.142
Pubmed ID
Authors

P. Gyawali, J. P. S. Sidhu, W. Ahmed, P. Jagals, S. Toze

Abstract

Accurate quantitative measurement of viable hookworm ova from environmental samples is the key to controlling hookworm re-infections in the endemic regions. In this study, the accuracy of three quantitative detection methods [culture-based, vital stain and propidium monoazide-quantitative polymerase chain reaction (PMA-qPCR)] was evaluated by enumerating 1,000 ± 50 Ancylostoma caninum ova in the laboratory. The culture-based method was able to quantify an average of 397 ± 59 viable hookworm ova. Similarly, vital stain and PMA-qPCR methods quantified 644 ± 87 and 587 ± 91 viable ova, respectively. The numbers of viable ova estimated by the culture-based method were significantly (P < 0.05) lower than vital stain and PMA-qPCR methods. Therefore, both PMA-qPCR and vital stain methods appear to be suitable for the quantitative detection of viable hookworm ova. However, PMA-qPCR would be preferable over the vital stain method in scenarios where ova speciation is needed.

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

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 71%
Student > Master 1 14%
Professor 1 14%
Readers by discipline Count As %
Engineering 2 29%
Agricultural and Biological Sciences 1 14%
Unspecified 1 14%
Immunology and Microbiology 1 14%
Sports and Recreations 1 14%
Other 1 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 16 June 2017.
All research outputs
#10,087,140
of 11,373,193 outputs
Outputs from Water Science & Technology
#1,184
of 1,420 outputs
Outputs of similar age
#203,284
of 242,303 outputs
Outputs of similar age from Water Science & Technology
#18
of 23 outputs
Altmetric has tracked 11,373,193 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 1,420 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.