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Distinguishing mechanisms of gamma frequency oscillations in human current source signals using a computational model of a laminar neocortical network

Overview of attention for article published in Frontiers in Human Neuroscience, January 2013
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Title
Distinguishing mechanisms of gamma frequency oscillations in human current source signals using a computational model of a laminar neocortical network
Published in
Frontiers in Human Neuroscience, January 2013
DOI 10.3389/fnhum.2013.00869
Pubmed ID
Authors

Shane Lee, Stephanie R. Jones

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 110 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 26%
Researcher 14 13%
Student > Master 11 10%
Student > Bachelor 8 7%
Student > Doctoral Student 8 7%
Other 18 16%
Unknown 22 20%
Readers by discipline Count As %
Neuroscience 29 26%
Agricultural and Biological Sciences 15 14%
Engineering 11 10%
Medicine and Dentistry 7 6%
Psychology 6 5%
Other 10 9%
Unknown 32 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 May 2021.
All research outputs
#15,493,741
of 23,025,074 outputs
Outputs from Frontiers in Human Neuroscience
#5,289
of 7,194 outputs
Outputs of similar age
#183,103
of 282,207 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#681
of 862 outputs
Altmetric has tracked 23,025,074 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,194 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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 282,207 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 862 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.