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Heterogeneity of heterogeneities in neuronal networks

Overview of attention for article published in Frontiers in Computational Neuroscience, December 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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog

Readers on

mendeley
23 Mendeley
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Title
Heterogeneity of heterogeneities in neuronal networks
Published in
Frontiers in Computational Neuroscience, December 2014
DOI 10.3389/fncom.2014.00161
Pubmed ID
Authors

Fabiano Baroni, Alberto Mazzoni

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 39%
Student > Master 3 13%
Student > Bachelor 2 9%
Professor > Associate Professor 2 9%
Researcher 2 9%
Other 2 9%
Unknown 3 13%
Readers by discipline Count As %
Neuroscience 11 48%
Agricultural and Biological Sciences 3 13%
Physics and Astronomy 3 13%
Biochemistry, Genetics and Molecular Biology 2 9%
Engineering 1 4%
Other 0 0%
Unknown 3 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 31 August 2023.
All research outputs
#2,690,546
of 24,357,902 outputs
Outputs from Frontiers in Computational Neuroscience
#104
of 1,413 outputs
Outputs of similar age
#38,076
of 370,523 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#2
of 26 outputs
Altmetric has tracked 24,357,902 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,413 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done particularly well, scoring higher than 92% 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 370,523 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 89% of its contemporaries.
We're also able to compare this research output to 26 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 96% of its contemporaries.