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Multi-object detection and behavior tracking of sea cucumbers with skin ulceration syndrome based on deep learning

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

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
1 Mendeley
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Title
Multi-object detection and behavior tracking of sea cucumbers with skin ulceration syndrome based on deep learning
Published in
Frontiers in Marine Science, March 2024
DOI 10.3389/fmars.2024.1365155
Authors

Fengli Ge, Kui Xuan, Peng Lou, Juan Li, Lingxu Jiang, Jiasheng Wang, Qi Lin

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 100%
Readers by discipline Count As %
Environmental Science 1 100%
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 15 May 2024.
All research outputs
#16,096,307
of 25,905,864 outputs
Outputs from Frontiers in Marine Science
#5,867
of 11,051 outputs
Outputs of similar age
#138,989
of 322,494 outputs
Outputs of similar age from Frontiers in Marine Science
#113
of 403 outputs
Altmetric has tracked 25,905,864 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,051 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one is in the 44th percentile – i.e., 44% 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 322,494 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 55% of its contemporaries.
We're also able to compare this research output to 403 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 68% of its contemporaries.