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Theta-Nested Gamma Oscillations in Next Generation Neural Mass Models

Overview of attention for article published in Frontiers in Computational Neuroscience, May 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
10 X users

Citations

dimensions_citation
57 Dimensions

Readers on

mendeley
57 Mendeley
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Title
Theta-Nested Gamma Oscillations in Next Generation Neural Mass Models
Published in
Frontiers in Computational Neuroscience, May 2020
DOI 10.3389/fncom.2020.00047
Pubmed ID
Authors

Marco Segneri, Hongjie Bi, Simona Olmi, Alessandro Torcini

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 25%
Researcher 10 18%
Student > Master 6 11%
Student > Doctoral Student 5 9%
Student > Bachelor 5 9%
Other 5 9%
Unknown 12 21%
Readers by discipline Count As %
Neuroscience 17 30%
Engineering 9 16%
Psychology 3 5%
Physics and Astronomy 3 5%
Computer Science 2 4%
Other 7 12%
Unknown 16 28%
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 01 December 2022.
All research outputs
#7,409,480
of 26,017,215 outputs
Outputs from Frontiers in Computational Neuroscience
#343
of 1,476 outputs
Outputs of similar age
#155,378
of 432,908 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#11
of 30 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,476 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done well, scoring higher than 76% 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 432,908 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 63% of its contemporaries.
We're also able to compare this research output to 30 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 63% of its contemporaries.