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Mendeley readers
Attention Score in Context
| Title |
The Brian Simulator
|
|---|---|
| Published in |
Frontiers in Neuroscience, September 2009
|
| DOI | 10.3389/neuro.01.026.2009 |
| Pubmed ID | |
| Authors |
Dan F. M. Goodman, Romain Brette |
| Abstract |
"Brian" is a simulator for spiking neural networks (http://www.briansimulator.org). The focus is on making the writing of simulation code as quick and easy as possible for the user, and on flexibility: new and non-standard models are no more difficult to define than standard ones. This allows scientists to spend more time on the details of their models, and less on their implementation. Neuron models are defined by writing differential equations in standard mathematical notation, facilitating scientific communication. Brian is written in the Python programming language, and uses vector-based computation to allow for efficient simulations. It is particularly useful for neuroscientific modelling at the systems level, and for teaching computational neuroscience. |
Mendeley readers
The data shown below were compiled from readership statistics for 381 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 3% |
| United Kingdom | 6 | 2% |
| Canada | 4 | 1% |
| Germany | 3 | <1% |
| France | 3 | <1% |
| Netherlands | 2 | <1% |
| Japan | 2 | <1% |
| China | 1 | <1% |
| Finland | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 346 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 115 | 30% |
| Researcher | 75 | 20% |
| Student > Master | 43 | 11% |
| Student > Bachelor | 27 | 7% |
| Student > Doctoral Student | 16 | 4% |
| Other | 56 | 15% |
| Unknown | 49 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 76 | 20% |
| Agricultural and Biological Sciences | 66 | 17% |
| Neuroscience | 63 | 17% |
| Computer Science | 63 | 17% |
| Physics and Astronomy | 19 | 5% |
| Other | 39 | 10% |
| Unknown | 55 | 14% |
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 19 February 2019.
All research outputs
#8,759,452
of 25,837,817 outputs
Outputs from Frontiers in Neuroscience
#5,559
of 11,678 outputs
Outputs of similar age
#38,718
of 108,562 outputs
Outputs of similar age from Frontiers in Neuroscience
#3
of 8 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,678 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has gotten more attention than average, scoring higher than 51% 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 108,562 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 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.