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Artificial neural networks: powerful tools for modeling chaotic behavior in the nervous system

Overview of attention for article published in Frontiers in Computational Neuroscience, April 2014
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users
facebook
2 Facebook pages

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
32 Mendeley
citeulike
1 CiteULike
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Title
Artificial neural networks: powerful tools for modeling chaotic behavior in the nervous system
Published in
Frontiers in Computational Neuroscience, April 2014
DOI 10.3389/fncom.2014.00040
Pubmed ID
Authors

Malihe Molaie, Razieh Falahian, Shahriar Gharibzadeh, Sajad Jafari, Julien C. Sprott

Timeline

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 6%
United States 1 3%
Belgium 1 3%
Vietnam 1 3%
Unknown 27 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 25%
Researcher 5 16%
Student > Bachelor 4 13%
Student > Master 4 13%
Professor 3 9%
Other 5 16%
Unknown 3 9%
Readers by discipline Count As %
Neuroscience 5 16%
Computer Science 4 13%
Physics and Astronomy 4 13%
Engineering 4 13%
Agricultural and Biological Sciences 3 9%
Other 10 31%
Unknown 2 6%
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 23 May 2015.
All research outputs
#14,780,011
of 22,754,104 outputs
Outputs from Frontiers in Computational Neuroscience
#765
of 1,338 outputs
Outputs of similar age
#128,948
of 228,039 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#14
of 19 outputs
Altmetric has tracked 22,754,104 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,338 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 36th percentile – i.e., 36% 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 228,039 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.