| Title |
A computational modelling approach to investigate different targets in deep brain stimulation for Parkinson’s disease
|
|---|---|
| Published in |
Journal of Computational Neuroscience, June 2008
|
| DOI | 10.1007/s10827-008-0100-z |
| Pubmed ID | |
| Authors |
Marco Pirini, Laura Rocchi, Mariachiara Sensi, Lorenzo Chiari |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 5% |
| United Kingdom | 3 | 4% |
| Brazil | 1 | 1% |
| China | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 72 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 28% |
| Researcher | 17 | 21% |
| Professor | 7 | 9% |
| Student > Master | 6 | 7% |
| Professor > Associate Professor | 4 | 5% |
| Other | 12 | 15% |
| Unknown | 13 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 13 | 16% |
| Agricultural and Biological Sciences | 13 | 16% |
| Medicine and Dentistry | 11 | 13% |
| Neuroscience | 10 | 12% |
| Physics and Astronomy | 5 | 6% |
| Other | 14 | 17% |
| Unknown | 16 | 20% |
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 10 April 2018.
All research outputs
#7,566,705
of 23,079,238 outputs
Outputs from Journal of Computational Neuroscience
#69
of 310 outputs
Outputs of similar age
#28,822
of 82,521 outputs
Outputs of similar age from Journal of Computational Neuroscience
#2
of 4 outputs
Altmetric has tracked 23,079,238 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 310 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 60% 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 82,521 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
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. This one has scored higher than 2 of them.