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Brainlab: A Python Toolkit to Aid in the Design, Simulation, and Analysis of Spiking Neural Networks with the NeoCortical Simulator

Overview of attention for article published in Frontiers in Neuroinformatics, May 2009
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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)

Mentioned by

twitter
1 X user
patent
2 patents

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
47 Mendeley
citeulike
3 CiteULike
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Title
Brainlab: A Python Toolkit to Aid in the Design, Simulation, and Analysis of Spiking Neural Networks with the NeoCortical Simulator
Published in
Frontiers in Neuroinformatics, May 2009
DOI 10.3389/neuro.11.016.2009
Pubmed ID
Authors

Rich Drewes, Quan Zou, Philip H. Goodman

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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 6%
United States 2 4%
Korea, Republic of 1 2%
Israel 1 2%
France 1 2%
Finland 1 2%
Portugal 1 2%
China 1 2%
Romania 1 2%
Other 0 0%
Unknown 35 74%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 32%
Student > Ph. D. Student 10 21%
Student > Master 4 9%
Student > Bachelor 3 6%
Professor > Associate Professor 3 6%
Other 8 17%
Unknown 4 9%
Readers by discipline Count As %
Engineering 9 19%
Agricultural and Biological Sciences 7 15%
Neuroscience 5 11%
Computer Science 4 9%
Physics and Astronomy 3 6%
Other 14 30%
Unknown 5 11%
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 07 December 2018.
All research outputs
#5,240,151
of 25,373,627 outputs
Outputs from Frontiers in Neuroinformatics
#255
of 833 outputs
Outputs of similar age
#22,346
of 122,578 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#2
of 3 outputs
Altmetric has tracked 25,373,627 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 833 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has gotten more attention than average, scoring higher than 69% 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 122,578 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 3 others from the same source and published within six weeks on either side of this one.