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Modeling the accuracy of a novel PCR and antibody ELISA for African swine fever virus detection using Bayesian latent class analysis

Overview of attention for article published in Frontiers in Veterinary Science, February 2023
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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1 Dimensions

Readers on

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5 Mendeley
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Title
Modeling the accuracy of a novel PCR and antibody ELISA for African swine fever virus detection using Bayesian latent class analysis
Published in
Frontiers in Veterinary Science, February 2023
DOI 10.3389/fvets.2023.1079918
Pubmed ID
Authors

Rachel Schambow, Luis G. Giménez-Lirola, Vu Duc Hanh, Lai Thi Lan Huong, Nguyen Thi Lan, Pham Hong Trang, Duc Luc, Ha Xuan Bo, Vo Dinh Chuong, Rolf Rauh, William Nelson, Juan Carlos Mora-Díaz, Albert Rovira, Marie R. Culhane, Andres M. Perez

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 20%
Professor > Associate Professor 1 20%
Unknown 3 60%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 1 20%
Unspecified 1 20%
Unknown 3 60%
Attention Score in Context

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 23 February 2023.
All research outputs
#19,935,908
of 25,378,284 outputs
Outputs from Frontiers in Veterinary Science
#4,542
of 8,072 outputs
Outputs of similar age
#294,492
of 418,321 outputs
Outputs of similar age from Frontiers in Veterinary Science
#269
of 500 outputs
Altmetric has tracked 25,378,284 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,072 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 34th percentile – i.e., 34% 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 418,321 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 500 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.