↓ Skip to main content

Nonlinear Control in the Nematode C. elegans

Overview of attention for article published in Frontiers in Computational Neuroscience, January 2021
Altmetric Badge

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 (79th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

blogs
1 blog
twitter
1 X user

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
38 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Nonlinear Control in the Nematode C. elegans
Published in
Frontiers in Computational Neuroscience, January 2021
DOI 10.3389/fncom.2020.616639
Pubmed ID
Authors

Megan Morrison, Charles Fieseler, J. Nathan Kutz

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

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 24%
Student > Bachelor 7 18%
Student > Doctoral Student 3 8%
Researcher 3 8%
Professor 2 5%
Other 4 11%
Unknown 10 26%
Readers by discipline Count As %
Neuroscience 7 18%
Computer Science 4 11%
Physics and Astronomy 4 11%
Engineering 3 8%
Mathematics 3 8%
Other 4 11%
Unknown 13 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 14 December 2022.
All research outputs
#3,880,450
of 23,341,064 outputs
Outputs from Frontiers in Computational Neuroscience
#179
of 1,373 outputs
Outputs of similar age
#104,189
of 504,119 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#6
of 35 outputs
Altmetric has tracked 23,341,064 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,373 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done well, scoring higher than 86% 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 504,119 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 79% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.