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Deep learning with self-supervision and uncertainty regularization to count fish in underwater images

Overview of attention for article published in PLOS ONE, May 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 X users

Readers on

mendeley
85 Mendeley
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Article details
Title
Deep learning with self-supervision and uncertainty regularization to count fish in underwater images
Published in
PLOS ONE, May 2022
DOI 10.1371/journal.pone.0267759
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 7 8%
Other 6 7%
Student > Bachelor 6 7%
Researcher 6 7%
Student > Master 4 5%
Other 8 9%
Unknown 48 56%
Readers by discipline
Readers by discipline Count As %
Computer Science 7 8%
Environmental Science 6 7%
Agricultural and Biological Sciences 6 7%
Engineering 6 7%
Unspecified 3 4%
Other 7 8%
Unknown 50 59%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 May 2021.
All research outputs
#21,433,265
of 34,412,533 outputs
Outputs from PLOS ONE
#126,691
of 224,665 outputs
Outputs of similar age
#218,169
of 470,067 outputs
Outputs of similar age from PLOS ONE
#1,265
of 2,576 outputs
Altmetric has tracked 34,412,533 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 224,665 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.2. This one is in the 43rd percentile – i.e., 43% 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 470,067 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 53% of its contemporaries.
We're also able to compare this research output to 2,576 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 50% of its contemporaries.