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Firing patterns in the adaptive exponential integrate-and-fire model

Overview of attention for article published in Biological Cybernetics, November 2008
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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 (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

patent
1 patent
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
266 Dimensions

Readers on

mendeley
365 Mendeley
citeulike
2 CiteULike
connotea
1 Connotea
Title
Firing patterns in the adaptive exponential integrate-and-fire model
Published in
Biological Cybernetics, November 2008
DOI 10.1007/s00422-008-0264-7
Pubmed ID
Authors

Richard Naud, Nicolas Marcille, Claudia Clopath, Wulfram Gerstner

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 365 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 9 2%
United States 8 2%
Germany 4 1%
France 4 1%
Switzerland 4 1%
Sweden 3 <1%
Canada 3 <1%
Turkey 2 <1%
Australia 1 <1%
Other 8 2%
Unknown 319 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 119 33%
Researcher 64 18%
Student > Master 55 15%
Student > Bachelor 22 6%
Professor > Associate Professor 15 4%
Other 48 13%
Unknown 42 12%
Readers by discipline Count As %
Neuroscience 79 22%
Agricultural and Biological Sciences 72 20%
Computer Science 59 16%
Engineering 43 12%
Physics and Astronomy 27 7%
Other 34 9%
Unknown 51 14%
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 30 September 2021.
All research outputs
#5,611,796
of 25,837,817 outputs
Outputs from Biological Cybernetics
#108
of 681 outputs
Outputs of similar age
#20,178
of 102,298 outputs
Outputs of similar age from Biological Cybernetics
#1
of 7 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 681 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 77% 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 102,298 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them