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Cross sectional study of prevalence, genetic diversity and zoonotic potential of Cryptosporidium parvum cycling in New Zealand dairy farms

Overview of attention for article published in Parasites & Vectors, April 2015
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

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2 Wikipedia pages
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1 YouTube creator

Citations

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22 Dimensions

Readers on

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48 Mendeley
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Title
Cross sectional study of prevalence, genetic diversity and zoonotic potential of Cryptosporidium parvum cycling in New Zealand dairy farms
Published in
Parasites & Vectors, April 2015
DOI 10.1186/s13071-015-0855-9
Pubmed ID
Authors

Julanda Al Mawly, Alex Grinberg, Niluka Velathanthiri, Nigel French

Abstract

The estimation of the prevalence and zoonotic potential of Cryptosporidium parvum cycling in bovine populations requires the use of genotyping as several morphologically similar non-parvum variants of unproven clinical and public health impact are found in cattle. Robust C. parvum prevalence estimates in cattle are lacking and comparative data of bovine and human parasites collected from the same regions are scarce. Thus, the relative contribution of the oocysts released by farmed animals to human cryptosporidiosis burden is, in general, poorly understood. The New Zealand farm-level C. parvum prevalence was estimated using a cross-sectional sample of 1283 faecal specimens collected from newborn calves on 97 dairy farms. Faeces were analysed by immunofluorescence and the Cryptosporidium parasites were genetically identified. Finally, bovine C. parvum were genetically compared with historical human clinical isolates using a bilocus subtyping scheme. Immunofluoresence-positive faeces were found in 63/97 (65%) farms. C. parvum was identified in 49 (50.5%) farms, C. bovis in 6 (6.1%) farms, and on 8 (8.2%) farms the species could not be identified. The dominant C. parvum genetic variants were geographically widespread and found in both host populations, but several variants were found in humans only. Phenotypic tests offered by New Zealand veterinary diagnostic laboratories for the diagnosis of C. parvum may have moderate to high positive predictive values. The genetic similarities observed between human and bovine C. parvum support a model considering calves as significant amplifiers of zoonotic C. parvum in New Zealand. However, data suggest that transmission routes not associated with dairy cattle should also be taken into account in future source-attribution studies of human cryptosporidiosis.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 21%
Student > Master 9 19%
Student > Bachelor 9 19%
Researcher 3 6%
Student > Postgraduate 3 6%
Other 6 13%
Unknown 8 17%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 13 27%
Agricultural and Biological Sciences 12 25%
Medicine and Dentistry 5 10%
Immunology and Microbiology 3 6%
Environmental Science 2 4%
Other 2 4%
Unknown 11 23%
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 24 December 2023.
All research outputs
#7,247,083
of 22,903,988 outputs
Outputs from Parasites & Vectors
#1,739
of 5,478 outputs
Outputs of similar age
#86,882
of 265,560 outputs
Outputs of similar age from Parasites & Vectors
#31
of 129 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 5,478 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 66% 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 265,560 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 129 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 74% of its contemporaries.