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Exact digital simulation of time-invariant linear systems with applications to neuronal modeling

Overview of attention for article published in Biological Cybernetics, November 1999
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
93 Dimensions

Readers on

mendeley
134 Mendeley
citeulike
1 CiteULike
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Title
Exact digital simulation of time-invariant linear systems with applications to neuronal modeling
Published in
Biological Cybernetics, November 1999
DOI 10.1007/s004220050570
Authors

Stefan Rotter, Markus Diesmann

Mendeley readers

The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 8 6%
France 4 3%
United States 4 3%
United Kingdom 3 2%
Switzerland 2 1%
Greece 1 <1%
Sweden 1 <1%
Unknown 111 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 31%
Researcher 38 28%
Student > Master 13 10%
Professor 8 6%
Professor > Associate Professor 6 4%
Other 21 16%
Unknown 6 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 31%
Computer Science 26 19%
Neuroscience 20 15%
Physics and Astronomy 12 9%
Engineering 11 8%
Other 16 12%
Unknown 8 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 25 October 2016.
All research outputs
#2,971,325
of 11,083,465 outputs
Outputs from Biological Cybernetics
#89
of 469 outputs
Outputs of similar age
#33,127
of 101,210 outputs
Outputs of similar age from Biological Cybernetics
#1
of 2 outputs
Altmetric has tracked 11,083,465 research outputs across all sources so far. This one has received more attention than most of these and is in the 50th percentile.
So far Altmetric has tracked 469 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 31st percentile – i.e., 31% 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 101,210 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 66% of its contemporaries.
We're also able to compare this research output to 2 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