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A Robust Métier-Based Approach to Classifying Fishing Practices Within Commercial Fisheries

Overview of attention for article published in Frontiers in Marine Science, November 2020
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Mentioned by

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1 X user

Citations

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5 Dimensions

Readers on

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32 Mendeley
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Title
A Robust Métier-Based Approach to Classifying Fishing Practices Within Commercial Fisheries
Published in
Frontiers in Marine Science, November 2020
DOI 10.3389/fmars.2020.552391
Authors

Parsa, Timothy J. Emery, Ashley J. Williams, Simon Nicol

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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 28%
Student > Ph. D. Student 4 13%
Student > Bachelor 3 9%
Student > Master 3 9%
Student > Doctoral Student 2 6%
Other 1 3%
Unknown 10 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 13%
Environmental Science 4 13%
Mathematics 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Chemical Engineering 1 3%
Other 4 13%
Unknown 16 50%
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 13 November 2020.
All research outputs
#20,666,963
of 23,262,131 outputs
Outputs from Frontiers in Marine Science
#8,292
of 8,788 outputs
Outputs of similar age
#354,865
of 415,391 outputs
Outputs of similar age from Frontiers in Marine Science
#300
of 336 outputs
Altmetric has tracked 23,262,131 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,788 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one is in the 1st percentile – i.e., 1% 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 415,391 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 336 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.