↓ Skip to main content

An eight-year epidemiologic study based on baculovirus-expressed type-specific spike proteins for the differentiation of type I and II feline coronavirus infections

Overview of attention for article published in BMC Veterinary Research, August 2014
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
28 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
An eight-year epidemiologic study based on baculovirus-expressed type-specific spike proteins for the differentiation of type I and II feline coronavirus infections
Published in
BMC Veterinary Research, August 2014
DOI 10.1186/s12917-014-0186-7
Pubmed ID
Authors

Ying-Ting Wang, Ling-Ling Chueh, Cho-Hua Wan

Abstract

BackgroundFeline infectious peritonitis (FIP) is a fatal disease caused by feline coronavirus (FCoV). FCoVs are divided into two serotypes with markedly different infection rates among cat populations around the world. A baculovirus-expressed type-specific domain of the spike proteins of FCoV was used to survey the infection of the two viruses over the past eight years in Taiwan.ResultsAn immunofluorescence assay based on cells infected with the recombinant viruses that was capable of distinguishing between the two types of viral infection was established. A total of 833 cases from a teaching hospital was surveyed for prevalence of different FCoV infections. Infection of the type I FCoV was dominant, with a seropositive rate of 70.4%, whereas 3.5% of cats were infected with the type II FCoV. In most cases, results derived from serotyping and genotyping were highly agreeable. However, 16.7% (4/24) FIP cats and 9.8% (6/61) clinically healthy cats were found to possess antibodies against both viruses. Moreover, most of the cats (84.6%, 22/26) infected with a genotypic untypable virus bearing a type I FCoV antibody.ConclusionA relatively simple serotyping method to distinguish between two types of FCoV infection was developed. Based on this method, two types of FCoV infection in Taiwan was first carried out. Type I FCoV was found to be predominant compared with type II virus. Results derived from serotyping and genotyping support our current understanding of evolution of disease-related FCoV and transmission of FIP.

Twitter Demographics

The data shown below were collected from the profiles of 6 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 18%
Student > Master 5 18%
Student > Ph. D. Student 4 14%
Student > Bachelor 3 11%
Student > Postgraduate 2 7%
Other 7 25%
Unknown 2 7%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 7 25%
Agricultural and Biological Sciences 4 14%
Biochemistry, Genetics and Molecular Biology 4 14%
Medicine and Dentistry 3 11%
Business, Management and Accounting 1 4%
Other 6 21%
Unknown 3 11%

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 05 May 2021.
All research outputs
#5,924,946
of 18,476,586 outputs
Outputs from BMC Veterinary Research
#485
of 2,610 outputs
Outputs of similar age
#63,956
of 208,910 outputs
Outputs of similar age from BMC Veterinary Research
#4
of 18 outputs
Altmetric has tracked 18,476,586 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 2,610 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 81% 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 208,910 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 69% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.