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Designing a Large Scale Autonomous Observing Network: A Set Theory Approach

Overview of attention for article published in Frontiers in Marine Science, June 2022
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About this Attention Score

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

Mentioned by

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4 X users

Readers on

mendeley
2 Mendeley
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Title
Designing a Large Scale Autonomous Observing Network: A Set Theory Approach
Published in
Frontiers in Marine Science, June 2022
DOI 10.3389/fmars.2022.879003
Authors

David Byrne, Jeff Polton, Joseph Ribeiro, Liam Fernand, Jason Holt

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 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 %
Student > Ph. D. Student 1 50%
Researcher 1 50%
Readers by discipline Count As %
Environmental Science 1 50%
Earth and Planetary Sciences 1 50%
Medicine and Dentistry 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 08 September 2022.
All research outputs
#15,095,649
of 24,406,441 outputs
Outputs from Frontiers in Marine Science
#5,352
of 9,887 outputs
Outputs of similar age
#207,209
of 431,499 outputs
Outputs of similar age from Frontiers in Marine Science
#322
of 766 outputs
Altmetric has tracked 24,406,441 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,887 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 43rd percentile – i.e., 43% 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 431,499 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 50% of its contemporaries.
We're also able to compare this research output to 766 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 55% of its contemporaries.