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Unsupervised Learning Facilitates Neural Coordination Across the Functional Clusters of the C. elegans Connectome

Overview of attention for article published in Frontiers in Robotics and AI, April 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
8 X users

Readers on

mendeley
11 Mendeley
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Title
Unsupervised Learning Facilitates Neural Coordination Across the Functional Clusters of the C. elegans Connectome
Published in
Frontiers in Robotics and AI, April 2020
DOI 10.3389/frobt.2020.00040
Pubmed ID
Authors

Alejandro Morales, Tom Froese

Timeline

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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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 27%
Researcher 2 18%
Student > Master 2 18%
Professor 1 9%
Lecturer 1 9%
Other 1 9%
Unknown 1 9%
Readers by discipline Count As %
Neuroscience 4 36%
Computer Science 3 27%
Psychology 1 9%
Decision Sciences 1 9%
Engineering 1 9%
Other 0 0%
Unknown 1 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 15 February 2021.
All research outputs
#6,088,748
of 23,201,298 outputs
Outputs from Frontiers in Robotics and AI
#375
of 1,531 outputs
Outputs of similar age
#117,741
of 371,024 outputs
Outputs of similar age from Frontiers in Robotics and AI
#19
of 47 outputs
Altmetric has tracked 23,201,298 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,531 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one has done well, scoring higher than 75% 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 371,024 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 68% of its contemporaries.
We're also able to compare this research output to 47 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 57% of its contemporaries.