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Subtidal seagrass detector: development of a deep learning seagrass detection and classification model for seagrass presence and density in diverse habitats from underwater photoquadrats

Overview of attention for article published in Frontiers in Marine Science, July 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Subtidal seagrass detector: development of a deep learning seagrass detection and classification model for seagrass presence and density in diverse habitats from underwater photoquadrats
Published in
Frontiers in Marine Science, July 2023
DOI 10.3389/fmars.2023.1197695
Authors

Lucas A. Langlois, Catherine J. Collier, Len J. McKenzie

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 %
Student > Ph. D. Student 3 30%
Researcher 1 10%
Lecturer 1 10%
Other 1 10%
Student > Bachelor 1 10%
Other 1 10%
Unknown 2 20%
Readers by discipline Count As %
Environmental Science 5 50%
Agricultural and Biological Sciences 2 20%
Earth and Planetary Sciences 1 10%
Unknown 2 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 18 July 2023.
All research outputs
#7,261,848
of 25,165,468 outputs
Outputs from Frontiers in Marine Science
#3,952
of 10,501 outputs
Outputs of similar age
#101,958
of 322,854 outputs
Outputs of similar age from Frontiers in Marine Science
#100
of 468 outputs
Altmetric has tracked 25,165,468 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 10,501 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one has gotten more attention than average, scoring higher than 61% 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 322,854 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 68% of its contemporaries.
We're also able to compare this research output to 468 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.