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A Convolutional Neural Network for Automated Detection of Humpback Whale Song in a Diverse, Long-Term Passive Acoustic Dataset

Overview of attention for article published in Frontiers in Marine Science, March 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
3 news outlets
blogs
1 blog
policy
2 policy sources
twitter
8 X users
facebook
1 Facebook page

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
76 Mendeley
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Title
A Convolutional Neural Network for Automated Detection of Humpback Whale Song in a Diverse, Long-Term Passive Acoustic Dataset
Published in
Frontiers in Marine Science, March 2021
DOI 10.3389/fmars.2021.607321
Authors

Ann N. Allen, Matt Harvey, Lauren Harrell, Aren Jansen, Karlina P. Merkens, Carrie C. Wall, Julie Cattiau, Erin M. Oleson

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 16%
Student > Ph. D. Student 11 14%
Student > Master 8 11%
Student > Bachelor 4 5%
Student > Doctoral Student 4 5%
Other 8 11%
Unknown 29 38%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 17%
Earth and Planetary Sciences 9 12%
Environmental Science 5 7%
Computer Science 4 5%
Engineering 4 5%
Other 12 16%
Unknown 29 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 January 2023.
All research outputs
#1,026,961
of 25,750,437 outputs
Outputs from Frontiers in Marine Science
#682
of 10,977 outputs
Outputs of similar age
#29,310
of 470,436 outputs
Outputs of similar age from Frontiers in Marine Science
#34
of 406 outputs
Altmetric has tracked 25,750,437 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,977 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one has done particularly well, scoring higher than 93% 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 470,436 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 406 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.