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Robust Fish Recognition Using Foundation Models toward Automatic Fish Resource Management

Overview of attention for article published in Journal of Marine Science and Engineering, March 2024
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Readers on

mendeley
3 Mendeley
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Title
Robust Fish Recognition Using Foundation Models toward Automatic Fish Resource Management
Published in
Journal of Marine Science and Engineering, March 2024
DOI 10.3390/jmse12030488
Authors

Tatsuhito Hasegawa, Daichi Nakano

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 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 %
Unspecified 3 100%
Readers by discipline Count As %
Unspecified 3 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 16 March 2024.
All research outputs
#17,376,384
of 25,498,750 outputs
Outputs from Journal of Marine Science and Engineering
#1,240
of 3,749 outputs
Outputs of similar age
#85,646
of 167,742 outputs
Outputs of similar age from Journal of Marine Science and Engineering
#4
of 16 outputs
Altmetric has tracked 25,498,750 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,749 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 58% 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 167,742 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.