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Rapid on-site detection of harmful algal blooms: real-time cyanobacteria identification using Oxford Nanopore sequencing

Overview of attention for article published in Frontiers in Microbiology, November 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

twitter
13 X users

Readers on

mendeley
10 Mendeley
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Title
Rapid on-site detection of harmful algal blooms: real-time cyanobacteria identification using Oxford Nanopore sequencing
Published in
Frontiers in Microbiology, November 2023
DOI 10.3389/fmicb.2023.1267652
Pubmed ID
Authors

Marianne Potvin, Jeff Gauthier, Christophe Langevin, Vani Mohit, Naíla Barbosa da Costa, Thomas Deschênes, Maude Pomerleau, Irena Kukavica-Ibrulj, Daniel Verreault, Jérôme Comte, Roger C. Levesque

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 40%
Student > Bachelor 2 20%
Professor 1 10%
Unknown 3 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 40%
Environmental Science 2 20%
Unknown 4 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 30 November 2023.
All research outputs
#5,426,086
of 25,443,857 outputs
Outputs from Frontiers in Microbiology
#5,417
of 29,374 outputs
Outputs of similar age
#85,915
of 358,402 outputs
Outputs of similar age from Frontiers in Microbiology
#79
of 945 outputs
Altmetric has tracked 25,443,857 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,374 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 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 358,402 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 945 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.