| Title |
Parallel network simulations with NEURON
|
|---|---|
| Published in |
Journal of Computational Neuroscience, May 2006
|
| DOI | 10.1007/s10827-006-7949-5 |
| Pubmed ID | |
| Authors |
M. Migliore, C. Cannia, W. W. Lytton, Henry Markram, M. L. Hines |
Mendeley readers
The data shown below were compiled from readership statistics for 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 2% |
| United States | 4 | 2% |
| United Kingdom | 4 | 2% |
| France | 3 | 2% |
| India | 2 | 1% |
| Pakistan | 1 | <1% |
| Italy | 1 | <1% |
| Portugal | 1 | <1% |
| Belarus | 1 | <1% |
| Other | 5 | 3% |
| Unknown | 163 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 46 | 24% |
| Researcher | 46 | 24% |
| Student > Master | 19 | 10% |
| Professor | 15 | 8% |
| Professor > Associate Professor | 13 | 7% |
| Other | 34 | 18% |
| Unknown | 16 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 53 | 28% |
| Computer Science | 34 | 18% |
| Neuroscience | 24 | 13% |
| Engineering | 22 | 12% |
| Physics and Astronomy | 10 | 5% |
| Other | 26 | 14% |
| Unknown | 20 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 13 February 2024.
All research outputs
#3,305,712
of 22,979,862 outputs
Outputs from Journal of Computational Neuroscience
#18
of 308 outputs
Outputs of similar age
#7,068
of 66,137 outputs
Outputs of similar age from Journal of Computational Neuroscience
#2
of 5 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 308 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 93% 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 66,137 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 85% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.