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A cross-sectional study to identify a set of risk factors for caprine herpesvirus 1 infection

Overview of attention for article published in BMC Veterinary Research, March 2018
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Mentioned by

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2 tweeters

Citations

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3 Dimensions

Readers on

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29 Mendeley
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Title
A cross-sectional study to identify a set of risk factors for caprine herpesvirus 1 infection
Published in
BMC Veterinary Research, March 2018
DOI 10.1186/s12917-018-1401-8
Pubmed ID
29540191
Authors

S. Bertolini, A. Rosamilia, C. Caruso, C. Maurella, F. Ingravalle, A. Quasso, P. L. Acutis, M. Pitti, L. Masoero, G. Ru

Abstract

Caprine herpesvirus 1 (CpHV-1) causes neonatal mortality and reproductive failure in goats. Despite its impact on herd reproductive performance, few studies have investigated the risk factors associated with CpHV-1 infection. The aim of this cross-sectional study was to identify potential herd- and host-level risk factors associated with CpHV-1 prevalence in a goat population with heterogeneous seropositivity for CpHV-1. Blood samples and individual data from 4542 goats were collected from 255 herds in Piedmont, Italy. Enzyme-linked immunosorbent assay (ELISA) and serum neutralization tests were carried out to detect antibodies against CpHV-1. A mixed-effects model was applied to identify any statistical association between CpHV-1 seropositivity and a set of putative host-level and herd-level risk factors. A total of 630 samples tested were found positive by ELISA (prevalence = 13.9%; 95% confidence interval (CI) 12.9-14.9). Of the 255 tested herds, 85 were classified as positive for the presence of at least one gB-positive animal (herd prevalence 33.3%, 95% CI 27.5-39.2), with a within-herd prevalence between 0.7 and 100% (Q1 = 17.6%; median = 32.3%; Q3 = 50%) (Q = quartiles). The prevalence ratios showed a statistical association with the following risk factors: breeds other than Saanen, older age, larger herd size, meat and extensive herds, and co-existence of CAEV-infected animals. Results from this cross sectional study may help to elucidate the natural history of the infection and inform targeted strategies to control a disease with a potentially important impact on animal health and goat farming economy.

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Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 4 14%
Student > Master 4 14%
Researcher 4 14%
Student > Ph. D. Student 2 7%
Student > Doctoral Student 1 3%
Other 2 7%
Unknown 12 41%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 6 21%
Unspecified 4 14%
Agricultural and Biological Sciences 2 7%
Medicine and Dentistry 2 7%
Immunology and Microbiology 1 3%
Other 1 3%
Unknown 13 45%

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 19 March 2018.
All research outputs
#17,933,348
of 23,028,364 outputs
Outputs from BMC Veterinary Research
#1,694
of 3,067 outputs
Outputs of similar age
#242,788
of 333,763 outputs
Outputs of similar age from BMC Veterinary Research
#55
of 99 outputs
Altmetric has tracked 23,028,364 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,067 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 333,763 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.

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