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Can Power-Law Scaling and Neuronal Avalanches Arise from Stochastic Dynamics?

Overview of attention for article published in PLOS ONE, February 2010
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2 X users

Citations

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167 Dimensions

Readers on

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250 Mendeley
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4 CiteULike
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Title
Can Power-Law Scaling and Neuronal Avalanches Arise from Stochastic Dynamics?
Published in
PLOS ONE, February 2010
DOI 10.1371/journal.pone.0008982
Pubmed ID
Authors

Jonathan Touboul, Alain Destexhe

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 250 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 3%
Germany 5 2%
France 5 2%
United Kingdom 3 1%
Japan 2 <1%
Netherlands 1 <1%
Italy 1 <1%
Turkey 1 <1%
Hungary 1 <1%
Other 7 3%
Unknown 216 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 72 29%
Researcher 67 27%
Student > Master 30 12%
Professor > Associate Professor 16 6%
Student > Bachelor 11 4%
Other 36 14%
Unknown 18 7%
Readers by discipline Count As %
Neuroscience 56 22%
Agricultural and Biological Sciences 48 19%
Physics and Astronomy 43 17%
Engineering 18 7%
Medicine and Dentistry 12 5%
Other 45 18%
Unknown 28 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 11 October 2017.
All research outputs
#16,443,300
of 25,837,817 outputs
Outputs from PLOS ONE
#146,181
of 224,660 outputs
Outputs of similar age
#145,701
of 177,057 outputs
Outputs of similar age from PLOS ONE
#550
of 679 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 224,660 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one is in the 31st percentile – i.e., 31% 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 177,057 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 679 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.