| Title |
NETMORPH: A Framework for the Stochastic Generation of Large Scale Neuronal Networks With Realistic Neuron Morphologies
|
|---|---|
| Published in |
Neuroinformatics, August 2009
|
| DOI | 10.1007/s12021-009-9052-3 |
| Pubmed ID | |
| Authors |
Randal A. Koene, Betty Tijms, Peter van Hees, Frank Postma, Alexander de Ridder, Ger J. A. Ramakers, Jaap van Pelt, Arjen van Ooyen |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 3% |
| United Kingdom | 2 | 1% |
| United States | 2 | 1% |
| Japan | 2 | 1% |
| Canada | 2 | 1% |
| Brazil | 1 | <1% |
| Sweden | 1 | <1% |
| Netherlands | 1 | <1% |
| Switzerland | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 130 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 37 | 25% |
| Student > Ph. D. Student | 35 | 24% |
| Student > Master | 18 | 12% |
| Student > Bachelor | 11 | 7% |
| Student > Doctoral Student | 9 | 6% |
| Other | 26 | 18% |
| Unknown | 11 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 32 | 22% |
| Neuroscience | 30 | 20% |
| Computer Science | 25 | 17% |
| Physics and Astronomy | 13 | 9% |
| Engineering | 10 | 7% |
| Other | 23 | 16% |
| Unknown | 14 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 26 March 2024.
All research outputs
#8,035,020
of 25,571,620 outputs
Outputs from Neuroinformatics
#146
of 426 outputs
Outputs of similar age
#40,370
of 124,289 outputs
Outputs of similar age from Neuroinformatics
#1
of 1 outputs
Altmetric has tracked 25,571,620 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 426 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 65% 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 124,289 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 1 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