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A modified assay for the enumeration of ascaris eggs in fresh raw sewage

Overview of attention for article published in MethodsX, May 2017
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  • Above-average Attention Score compared to outputs of the same age (61st percentile)

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Citations

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Title
A modified assay for the enumeration of ascaris eggs in fresh raw sewage
Published in
MethodsX, May 2017
DOI 10.1016/j.mex.2017.04.001
Pubmed ID
Authors

Esmaeil Shahsavari, Jonathan Schmidt, Arturo Aburto-Medina, Basma Khallaf, Vivek Balakrishnan, Nicholas D. Crosbie, Aravind Surapaneni, Andrew S. Ball

Abstract

Soil-transmitted helminths (STHs) pose a significant public health problem, infecting approximately 2 billion people globally. Despite relatively low prevalence in developed countries, the removal of STHs from wastewater remains crucial to allow the safe use of biosolids or recycled water for agriculture. Wastewater helminth egg count data can contribute to an assessment of the need for, or success of, a parasite management program. Although the World Health Organisation (WHO) has recommended a standard method for counting helminth eggs in raw sewage based on the method of Bailenger (Ayres et al., 1996), the method generally results in low percentage egg recoveries. Given the importance of determining the presence of STHs, it is essential to develop novel techniques that optimise the recovery rate of eggs from raw sewage. In the present study: •The method described by Bowman et al. (2003) was optimized for the concentration and enumeration of helminth eggs in raw sewage from municipal sewage treatment plants.•The method is simple and reproducible and recovers a greater percentage of helminth eggs compared to the WHO method.

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

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 18%
Researcher 3 18%
Student > Ph. D. Student 3 18%
Lecturer 2 12%
Other 1 6%
Other 0 0%
Unknown 5 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 24%
Engineering 3 18%
Veterinary Science and Veterinary Medicine 2 12%
Nursing and Health Professions 1 6%
Chemistry 1 6%
Other 1 6%
Unknown 5 29%
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 06 June 2017.
All research outputs
#8,529,653
of 25,382,440 outputs
Outputs from MethodsX
#242
of 898 outputs
Outputs of similar age
#126,203
of 324,557 outputs
Outputs of similar age from MethodsX
#2
of 2 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 898 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 73% 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 324,557 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 61% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.