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Semi-supervised learning advances species recognition for aquatic biodiversity monitoring

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

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
2 Mendeley
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Title
Semi-supervised learning advances species recognition for aquatic biodiversity monitoring
Published in
Frontiers in Marine Science, May 2024
DOI 10.3389/fmars.2024.1373755
Authors

Dongliang Ma, Jine Wei, Likai Zhu, Fang Zhao, Hao Wu, Xi Chen, Ye Li, Min Liu

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 50%
Unknown 1 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 50%
Agricultural and Biological Sciences 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 May 2024.
All research outputs
#16,467,544
of 25,997,855 outputs
Outputs from Frontiers in Marine Science
#6,250
of 11,123 outputs
Outputs of similar age
#62,772
of 146,042 outputs
Outputs of similar age from Frontiers in Marine Science
#44
of 167 outputs
Altmetric has tracked 25,997,855 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,123 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. This one is in the 36th percentile – i.e., 36% 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 146,042 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 54% of its contemporaries.
We're also able to compare this research output to 167 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.