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Salmonella Serotyping; Comparison of the Traditional Method to a Microarray-Based Method and an in silico Platform Using Whole Genome Sequencing Data

Overview of attention for article published in Frontiers in Microbiology, November 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

policy
1 policy source
twitter
5 X users

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
119 Mendeley
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Title
Salmonella Serotyping; Comparison of the Traditional Method to a Microarray-Based Method and an in silico Platform Using Whole Genome Sequencing Data
Published in
Frontiers in Microbiology, November 2019
DOI 10.3389/fmicb.2019.02554
Pubmed ID
Authors

Benjamin Diep, Caroline Barretto, Anne-Catherine Portmann, Coralie Fournier, Aneta Karczmarek, Guido Voets, Shaoting Li, Xiangyu Deng, Adrianne Klijn

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 119 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 11%
Student > Bachelor 13 11%
Student > Master 11 9%
Researcher 9 8%
Lecturer 5 4%
Other 15 13%
Unknown 53 45%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 14%
Veterinary Science and Veterinary Medicine 14 12%
Agricultural and Biological Sciences 12 10%
Immunology and Microbiology 8 7%
Medicine and Dentistry 4 3%
Other 8 7%
Unknown 56 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 13 May 2023.
All research outputs
#6,586,434
of 24,907,378 outputs
Outputs from Frontiers in Microbiology
#6,157
of 28,465 outputs
Outputs of similar age
#112,519
of 367,098 outputs
Outputs of similar age from Frontiers in Microbiology
#177
of 694 outputs
Altmetric has tracked 24,907,378 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 28,465 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done well, scoring higher than 78% 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 367,098 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 694 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.