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Automated plankton image analysis using convolutional neural networks

Overview of attention for article published in Limnology and Oceanography: Methods, October 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

policy
1 policy source
twitter
1 X user

Readers on

mendeley
128 Mendeley
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Article details
Title
Automated plankton image analysis using convolutional neural networks
Published in
Limnology and Oceanography: Methods, October 2018
DOI 10.1002/lom3.10285
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 profile of 1 X user 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 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 128 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 21 16%
Student > Master 15 12%
Student > Ph. D. Student 12 9%
Other 7 5%
Student > Doctoral Student 6 5%
Other 12 9%
Unknown 55 43%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 24 19%
Environmental Science 15 12%
Earth and Planetary Sciences 7 5%
Engineering 7 5%
Computer Science 6 5%
Other 11 9%
Unknown 58 45%
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 01 January 2024.
All research outputs
#9,123,607
of 28,538,115 outputs
Outputs from Limnology and Oceanography: Methods
#195
of 522 outputs
Outputs of similar age
#135,000
of 363,572 outputs
Outputs of similar age from Limnology and Oceanography: Methods
#4
of 14 outputs
Altmetric has tracked 28,538,115 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 522 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. 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 363,572 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 61% of its contemporaries.
We're also able to compare this research output to 14 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 71% of its contemporaries.