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A computational paradigm for dynamic logic-gates in neuronal activity

Overview of attention for article published in Frontiers in Computational Neuroscience, January 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
1 blog
twitter
3 X users

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
62 Mendeley
citeulike
3 CiteULike
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Title
A computational paradigm for dynamic logic-gates in neuronal activity
Published in
Frontiers in Computational Neuroscience, January 2014
DOI 10.3389/fncom.2014.00052
Pubmed ID
Authors

Amir Goldental, Shoshana Guberman, Roni Vardi, Ido Kanter

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 2%
Germany 1 2%
Unknown 60 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 21%
Researcher 12 19%
Student > Bachelor 7 11%
Student > Master 7 11%
Student > Doctoral Student 5 8%
Other 9 15%
Unknown 9 15%
Readers by discipline Count As %
Neuroscience 13 21%
Agricultural and Biological Sciences 10 16%
Engineering 8 13%
Physics and Astronomy 7 11%
Computer Science 3 5%
Other 10 16%
Unknown 11 18%
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 13 February 2020.
All research outputs
#3,559,280
of 22,835,198 outputs
Outputs from Frontiers in Computational Neuroscience
#166
of 1,343 outputs
Outputs of similar age
#42,599
of 305,552 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#1
of 16 outputs
Altmetric has tracked 22,835,198 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,343 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 87% 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 305,552 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 86% of its contemporaries.
We're also able to compare this research output to 16 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 93% of its contemporaries.