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A Deep learning method for accurate and fast identification of coral reef fishes in underwater images

Overview of attention for article published in Ecological Informatics, November 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#20 of 1,206)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

policy
3 policy sources
twitter
80 X users
facebook
1 Facebook page

Readers on

mendeley
335 Mendeley
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Article details
Title
A Deep learning method for accurate and fast identification of coral reef fishes in underwater images
Published in
Ecological Informatics, November 2018
DOI 10.1016/j.ecoinf.2018.09.007
Authors

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 80 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 335 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 335 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 40 12%
Researcher 38 11%
Student > Master 35 10%
Student > Bachelor 23 7%
Lecturer 15 4%
Other 45 13%
Unknown 139 41%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 61 18%
Environmental Science 45 13%
Computer Science 35 10%
Engineering 19 6%
Earth and Planetary Sciences 10 3%
Other 20 6%
Unknown 145 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 59. 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 01 January 2024.
All research outputs
#897,461
of 33,937,515 outputs
Outputs from Ecological Informatics
#20
of 1,206 outputs
Outputs of similar age
#15,124
of 393,119 outputs
Outputs of similar age from Ecological Informatics
#1
of 13 outputs
Altmetric has tracked 33,937,515 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,206 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 particularly well, scoring higher than 98% 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 393,119 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 13 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 92% of its contemporaries.