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Bench‐top validation testing of selected immunological and molecular Renibacterium salmoninarum diagnostic assays by comparison with quantitative bacteriological culture

Overview of attention for article published in Journal of Fish Diseases, January 2013
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28 Mendeley
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Title
Bench‐top validation testing of selected immunological and molecular Renibacterium salmoninarum diagnostic assays by comparison with quantitative bacteriological culture
Published in
Journal of Fish Diseases, January 2013
DOI 10.1111/jfd.12079
Pubmed ID
Authors

Elliott, D G, Applegate, L J, Murray, A L, Purcell, M K, McKibben, C L, Elliott DG, Applegate LJ, Murray AL, Purcell MK, McKibben CL

Abstract

No gold standard assay exhibiting error-free classification of results has been identified for detection of Renibacterium salmoninarum, the causative agent of salmonid bacterial kidney disease. Validation of diagnostic assays for R. salmoninarum has been hindered by its unique characteristics and biology, and difficulties in locating suitable populations of reference test animals. Infection status of fish in test populations is often unknown, and it is commonly assumed that the assay yielding the most positive results has the highest diagnostic accuracy, without consideration of misclassification of results. In this research, quantification of R. salmoninarum in samples by bacteriological culture provided a standardized measure of viable bacteria to evaluate analytical performance characteristics (sensitivity, specificity and repeatability) of non-culture assays in three matrices (phosphate-buffered saline, ovarian fluid and kidney tissue). Non-culture assays included polyclonal enzyme-linked immunosorbent assay (ELISA), direct smear fluorescent antibody technique (FAT), membrane-filtration FAT, nested polymerase chain reaction (nested PCR) and three real-time quantitative PCR assays. Injection challenge of specific pathogen-free Chinook salmon, Oncorhynchus tshawytscha (Walbaum), with R. salmoninarum was used to estimate diagnostic sensitivity and specificity. Results did not identify a single assay demonstrating the highest analytical and diagnostic performance characteristics, but revealed strengths and weaknesses of each test.

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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 2 7%
Japan 1 4%
Unknown 25 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 46%
Other 5 18%
Student > Ph. D. Student 5 18%
Student > Master 2 7%
Student > Bachelor 1 4%
Other 2 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 50%
Veterinary Science and Veterinary Medicine 3 11%
Biochemistry, Genetics and Molecular Biology 3 11%
Environmental Science 2 7%
Unspecified 2 7%
Other 4 14%

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 27 January 2013.
All research outputs
#4,419,779
of 6,284,858 outputs
Outputs from Journal of Fish Diseases
#133
of 247 outputs
Outputs of similar age
#169,626
of 275,042 outputs
Outputs of similar age from Journal of Fish Diseases
#13
of 19 outputs
Altmetric has tracked 6,284,858 research outputs across all sources so far. This one is in the 26th percentile – i.e., 26% of other outputs scored the same or lower than it.
So far Altmetric has tracked 247 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 44th percentile – i.e., 44% 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 275,042 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.