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On the danger of detecting network states in white noise

Overview of attention for article published in Frontiers in Computational Neuroscience, February 2015
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

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14 X users

Citations

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30 Dimensions

Readers on

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55 Mendeley
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Title
On the danger of detecting network states in white noise
Published in
Frontiers in Computational Neuroscience, February 2015
DOI 10.3389/fncom.2015.00011
Pubmed ID
Authors

Jaroslav Hlinka, Michal Hadrava

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 4%
Netherlands 1 2%
Chile 1 2%
Italy 1 2%
United Kingdom 1 2%
United States 1 2%
Unknown 48 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 31%
Student > Ph. D. Student 11 20%
Professor > Associate Professor 5 9%
Student > Bachelor 4 7%
Student > Master 4 7%
Other 10 18%
Unknown 4 7%
Readers by discipline Count As %
Neuroscience 9 16%
Engineering 7 13%
Computer Science 7 13%
Medicine and Dentistry 5 9%
Agricultural and Biological Sciences 5 9%
Other 11 20%
Unknown 11 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 06 May 2019.
All research outputs
#4,841,975
of 24,143,470 outputs
Outputs from Frontiers in Computational Neuroscience
#214
of 1,403 outputs
Outputs of similar age
#68,677
of 365,882 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#7
of 33 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,403 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 84% 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 365,882 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 81% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.