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Modeling the transboundary risk of feed ingredients contaminated with porcine epidemic diarrhea virus

Overview of attention for article published in BMC Veterinary Research, March 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#44 of 3,093)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
4 news outlets
policy
1 policy source
patent
1 patent

Citations

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71 Dimensions

Readers on

mendeley
92 Mendeley
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Title
Modeling the transboundary risk of feed ingredients contaminated with porcine epidemic diarrhea virus
Published in
BMC Veterinary Research, March 2016
DOI 10.1186/s12917-016-0674-z
Pubmed ID
Authors

Scott Dee, Casey Neill, Aaron Singrey, Travis Clement, Roger Cochrane, Cassandra Jones, Gilbert Patterson, Gordon Spronk, Jane Christopher-Hennings, Eric Nelson

Abstract

This study describes a model developed to evaluate the transboundary risk of PEDV-contaminated swine feed ingredients and the effect of two mitigation strategies during a simulated transport event from China to the US. Ingredients imported to the USA from China, including organic & conventional soybeans and meal, lysine hydrochloride, D-L methionine, tryptophan, Vitamins A, D & E, choline, carriers (rice hulls, corn cobs) and feed grade tetracycline, were inoculated with PEDV. Control ingredients, and treatments (ingredients plus a liquid antimicrobial (SalCURB, Kemin Industries (LA) or a 2 % custom medium chain fatty acid blend (MCFA)) were tested. The model ran for 37 days, simulating transport of cargo from Beijing, China to Des Moines, IA, US from December 23, 2012 to January 28, 2013. To mimic conditions on land and sea, historical temperature and percent relative humidity (% RH) data were programmed into an environmental chamber which stored all containers. To evaluate PEDV viability over time, ingredients were organized into 1 of 4 batches of samples, each batch representing a specific segment of transport. Batch 1 (segment 1) simulated transport of contaminated ingredients from manufacturing plants in Beijing (day 1 post-contamination (PC)). Batch 2 (segments 1 and 2) simulated manufacturing and delivery to Shanghai, including time in Anquing terminal awaiting shipment (days 1-8 PC). Batch 3 (segments 1, 2 and 3) represented time in China, the crossing of the Pacific and entry to the US at the San Francisco, CA terminal (day 1-27 PC). Batch 4 (segments 1-4) represented the previous events, including transport to Des Moines, IA (days 1-37 PC). Across control (non-treated) ingredients, viable PEDV was detected in soybean meal (organic and conventional), Vitamin D, lysine hydrochloride and choline chloride. In contrast, viable PEDV was not detected in any samples treated with LA or MCFA. These results demonstrate the ability of PEDV to survive in a subset of feed ingredients using a model simulating shipment from China to the US. This is proof of concept suggesting that contaminated feed ingredients could serve as transboundary risk factors for PEDV, along with the identification of effective mitigation options.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 91 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 18%
Student > Master 15 16%
Other 7 8%
Student > Bachelor 7 8%
Student > Ph. D. Student 5 5%
Other 18 20%
Unknown 23 25%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 17 18%
Agricultural and Biological Sciences 17 18%
Medicine and Dentistry 6 7%
Nursing and Health Professions 5 5%
Biochemistry, Genetics and Molecular Biology 5 5%
Other 10 11%
Unknown 32 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 31 January 2023.
All research outputs
#968,571
of 23,248,929 outputs
Outputs from BMC Veterinary Research
#44
of 3,093 outputs
Outputs of similar age
#17,944
of 301,261 outputs
Outputs of similar age from BMC Veterinary Research
#1
of 33 outputs
Altmetric has tracked 23,248,929 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,093 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 98% 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 301,261 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.