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Describing Uncertainty in Salmonella Thermal Inactivation Using Bayesian Statistical Modeling

Overview of attention for article published in Frontiers in Microbiology, September 2019
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Mentioned by

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1 X user

Citations

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16 Dimensions

Readers on

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29 Mendeley
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Title
Describing Uncertainty in Salmonella Thermal Inactivation Using Bayesian Statistical Modeling
Published in
Frontiers in Microbiology, September 2019
DOI 10.3389/fmicb.2019.02239
Pubmed ID
Authors

Kento Koyama, Zafiro Aspridou, Shige Koseki, Konstantinos Koutsoumanis

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

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 %
Student > Bachelor 4 14%
Student > Ph. D. Student 4 14%
Student > Master 3 10%
Researcher 3 10%
Professor 2 7%
Other 4 14%
Unknown 9 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 38%
Veterinary Science and Veterinary Medicine 2 7%
Environmental Science 1 3%
Mathematics 1 3%
Nursing and Health Professions 1 3%
Other 3 10%
Unknown 10 34%
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 26 September 2019.
All research outputs
#20,581,703
of 23,164,913 outputs
Outputs from Frontiers in Microbiology
#22,964
of 25,398 outputs
Outputs of similar age
#294,234
of 345,861 outputs
Outputs of similar age from Frontiers in Microbiology
#630
of 727 outputs
Altmetric has tracked 23,164,913 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,398 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 1st percentile – i.e., 1% 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 345,861 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 727 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.