| Title |
Exact digital simulation of time-invariant linear systems with applications to neuronal modeling
|
|---|---|
| Published in |
Biological Cybernetics, November 1999
|
| DOI | 10.1007/s004220050570 |
| Pubmed ID | |
| Authors |
Stefan Rotter, Markus Diesmann |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 8 | 5% |
| France | 4 | 3% |
| United States | 4 | 3% |
| Switzerland | 2 | 1% |
| United Kingdom | 2 | 1% |
| Greece | 1 | <1% |
| Sweden | 1 | <1% |
| Unknown | 126 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 45 | 30% |
| Researcher | 40 | 27% |
| Student > Master | 14 | 9% |
| Professor | 8 | 5% |
| Student > Bachelor | 6 | 4% |
| Other | 23 | 16% |
| Unknown | 12 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 40 | 27% |
| Computer Science | 27 | 18% |
| Neuroscience | 22 | 15% |
| Engineering | 17 | 11% |
| Physics and Astronomy | 11 | 7% |
| Other | 17 | 11% |
| Unknown | 14 | 9% |
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 02 August 2023.
All research outputs
#5,446,629
of 25,374,647 outputs
Outputs from Biological Cybernetics
#106
of 678 outputs
Outputs of similar age
#5,564
of 36,316 outputs
Outputs of similar age from Biological Cybernetics
#3
of 4 outputs
Altmetric has tracked 25,374,647 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 678 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 78% 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 36,316 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 4 others from the same source and published within six weeks on either side of this one.