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Automated zooplankton size measurement using deep learning: Overcoming the limitations of traditional methods

Overview of attention for article published in Frontiers in Marine Science, February 2024
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
7 X users

Readers on

mendeley
3 Mendeley
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Title
Automated zooplankton size measurement using deep learning: Overcoming the limitations of traditional methods
Published in
Frontiers in Marine Science, February 2024
DOI 10.3389/fmars.2024.1341191
Authors

Wenjie Zhang, Hongsheng Bi, Duansheng Wang, Xuemin Cheng, Zhonghua Cai, Kezhen Ying

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Student > Doctoral Student 1 33%
Unknown 1 33%
Readers by discipline Count As %
Environmental Science 1 33%
Agricultural and Biological Sciences 1 33%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 13 February 2024.
All research outputs
#7,586,177
of 26,451,700 outputs
Outputs from Frontiers in Marine Science
#4,062
of 11,416 outputs
Outputs of similar age
#113,696
of 390,792 outputs
Outputs of similar age from Frontiers in Marine Science
#81
of 470 outputs
Altmetric has tracked 26,451,700 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 11,416 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one has gotten more attention than average, scoring higher than 64% 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 390,792 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 70% of its contemporaries.
We're also able to compare this research output to 470 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.