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Implementation of an extended ZINB model in the study of low levels of natural gastrointestinal nematode infections in adult sheep

Overview of attention for article published in BMC Veterinary Research, June 2016
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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Title
Implementation of an extended ZINB model in the study of low levels of natural gastrointestinal nematode infections in adult sheep
Published in
BMC Veterinary Research, June 2016
DOI 10.1186/s12917-016-0723-7
Pubmed ID
Authors

M. Atlija, J. M. Prada, B. Gutiérrez-Gil, F. A. Rojo-Vázquez, M. J. Stear, J. J. Arranz, M. Martínez-Valladares

Abstract

In this study, two traits related with resistance to gastrointestinal nematodes (GIN) were measured in 529 adult sheep: faecal egg count (FEC) and activity of immunoglobulin A in plasma (IgA). In dry years, FEC can be very low in semi-extensive systems, such as the one studied here, which makes identifying animals that are resistant or susceptible to infection a difficult task. A zero inflated negative binomial model (ZINB) model was used to calculate the extent of zero inflation for FEC; the model was extended to include information from the IgA responses. In this dataset, 64 % of animals had zero FEC while the ZINB model suggested that 38 % of sheep had not been recently infected with GIN. Therefore 26 % of sheep were predicted to be infected animals with egg counts that were zero or below the detection limit and likely to be relatively resistant to nematode infection. IgA activities of all animals were then used to decide which of the sheep with zero egg counts had been exposed and which sheep had not been recently exposed. Animals with zero FEC and high IgA activity were considered resistant while animals with zero FEC and low IgA activity were considered as not recently infected. For the animals considered as exposed to the infection, the correlations among the studied traits were estimated, and the influence of these traits on the discrimination between unexposed and infected animals was assessed. The model presented here improved the detection of infected animals with zero FEC. The correlations calculated here will be useful in the development of a reliable index of GIN resistance that could be of assistance for the study of host resistance in studies based on natural infection, especially in adult sheep, and also the design of breeding programs aimed at increasing resistance to parasites.

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The data shown below were collected from the profiles of 8 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 25%
Student > Bachelor 2 10%
Student > Doctoral Student 2 10%
Other 2 10%
Professor > Associate Professor 2 10%
Other 5 25%
Unknown 2 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 40%
Veterinary Science and Veterinary Medicine 3 15%
Biochemistry, Genetics and Molecular Biology 1 5%
Mathematics 1 5%
Medicine and Dentistry 1 5%
Other 0 0%
Unknown 6 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 22 October 2021.
All research outputs
#5,904,544
of 22,877,793 outputs
Outputs from BMC Veterinary Research
#408
of 3,052 outputs
Outputs of similar age
#95,759
of 345,197 outputs
Outputs of similar age from BMC Veterinary Research
#8
of 43 outputs
Altmetric has tracked 22,877,793 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 3,052 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 86% 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 345,197 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 43 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.