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A new method to control error rates in automated species identification with deep learning algorithms

Overview of attention for article published in Scientific Reports, July 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
13 X users

Readers on

mendeley
91 Mendeley
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Article details
Title
A new method to control error rates in automated species identification with deep learning algorithms
Published in
Scientific Reports, July 2020
DOI 10.1038/s41598-020-67573-7
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 18 20%
Student > Ph. D. Student 13 14%
Student > Master 13 14%
Student > Bachelor 6 7%
Lecturer 4 4%
Other 15 16%
Unknown 22 24%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 26 29%
Environmental Science 15 16%
Computer Science 10 11%
Engineering 5 5%
Earth and Planetary Sciences 4 4%
Other 8 9%
Unknown 23 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 July 2020.
All research outputs
#5,877,989
of 32,444,292 outputs
Outputs from Scientific Reports
#45,575
of 175,617 outputs
Outputs of similar age
#109,839
of 449,815 outputs
Outputs of similar age from Scientific Reports
#1,232
of 4,093 outputs
Altmetric has tracked 32,444,292 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 175,617 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one has gotten more attention than average, scoring higher than 74% 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 449,815 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 4,093 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 69% of its contemporaries.