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Detection of SARS-CoV-2 infection clusters: The useful combination of spatiotemporal clustering and genomic analyses

Overview of attention for article published in Frontiers in Public Health, December 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
12 Mendeley
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Title
Detection of SARS-CoV-2 infection clusters: The useful combination of spatiotemporal clustering and genomic analyses
Published in
Frontiers in Public Health, December 2022
DOI 10.3389/fpubh.2022.1016169
Pubmed ID
Authors

Yangji Choi, Anaïs Ladoy, David De Ridder, Damien Jacot, Séverine Vuilleumier, Claire Bertelli, Idris Guessous, Trestan Pillonel, Stéphane Joost, Gilbert Greub

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 33%
Student > Ph. D. Student 1 8%
Student > Bachelor 1 8%
Lecturer 1 8%
Unknown 5 42%
Readers by discipline Count As %
Nursing and Health Professions 2 17%
Biochemistry, Genetics and Molecular Biology 1 8%
Environmental Science 1 8%
Agricultural and Biological Sciences 1 8%
Medicine and Dentistry 1 8%
Other 0 0%
Unknown 6 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 28 December 2022.
All research outputs
#6,700,404
of 26,184,649 outputs
Outputs from Frontiers in Public Health
#2,726
of 14,617 outputs
Outputs of similar age
#125,193
of 498,801 outputs
Outputs of similar age from Frontiers in Public Health
#192
of 1,439 outputs
Altmetric has tracked 26,184,649 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 14,617 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done well, scoring higher than 81% 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 498,801 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 74% of its contemporaries.
We're also able to compare this research output to 1,439 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.