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X Demographics
Mendeley readers
Attention Score in Context
Title |
Machine learning-based understanding of aquatic animal behaviour in high-turbidity waters
|
---|---|
Published in |
Expert Systems with Applications, December 2024
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DOI | 10.1016/j.eswa.2024.124804 |
Authors |
Ignacio Martinez-Alpiste, Jean-Benoît de Tailly, Jose M. Alcaraz-Calero, Katherine A. Sloman, Mhairi E. Alexander, Qi Wang |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 4 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 50% |
Unspecified | 2 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 2 | 50% |
Agricultural and Biological Sciences | 2 | 50% |
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 24 July 2024.
All research outputs
#18,035,253
of 26,393,142 outputs
Outputs from Expert Systems with Applications
#2,142
of 4,428 outputs
Outputs of similar age
#1,565
of 2,291 outputs
Outputs of similar age from Expert Systems with Applications
#8
of 22 outputs
Altmetric has tracked 26,393,142 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 4,428 research outputs from this source. They receive a mean Attention Score of 2.7. 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 2,291 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.