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STDP in Recurrent Neuronal Networks

Overview of attention for article published in Frontiers in Computational Neuroscience, January 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

patent
2 patents

Readers on

mendeley
218 Mendeley
citeulike
2 CiteULike
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Title
STDP in Recurrent Neuronal Networks
Published in
Frontiers in Computational Neuroscience, January 2010
DOI 10.3389/fncom.2010.00023
Pubmed ID
Authors

Matthieu Gilson, Anthony Burkitt, J. Leo van Hemmen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 5 2%
United Kingdom 5 2%
United States 4 2%
Japan 3 1%
Switzerland 2 <1%
France 2 <1%
Brazil 1 <1%
Canada 1 <1%
Belarus 1 <1%
Other 3 1%
Unknown 191 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 60 28%
Researcher 55 25%
Student > Master 32 15%
Professor > Associate Professor 14 6%
Student > Bachelor 10 5%
Other 33 15%
Unknown 14 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 26%
Neuroscience 44 20%
Computer Science 37 17%
Physics and Astronomy 20 9%
Engineering 17 8%
Other 25 11%
Unknown 19 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 20 September 2016.
All research outputs
#4,716,329
of 22,873,031 outputs
Outputs from Frontiers in Computational Neuroscience
#228
of 1,345 outputs
Outputs of similar age
#27,165
of 164,129 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#4
of 14 outputs
Altmetric has tracked 22,873,031 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,345 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done well, scoring higher than 82% 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 164,129 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 78% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.