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X Demographics
Mendeley readers
Attention Score in Context
| Title |
TVB-EduPack—An Interactive Learning and Scripting Platform for The Virtual Brain
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, November 2015
|
| DOI | 10.3389/fninf.2015.00027 |
| Pubmed ID | |
| Authors |
Henrik Matzke, Michael Schirner, Daniel Vollbrecht, Simon Rothmeier, Adalberto Llarena, Raúl Rojas, Paul Triebkorn, Lia Domide, Jochen Mersmann, Ana Solodkin, Viktor K. Jirsa, Anthony Randal McIntosh, Petra Ritter |
| Abstract |
The Virtual Brain (TVB; thevirtualbrain.org) is a neuroinformatics platform for full brain network simulation based on individual anatomical connectivity data. The framework addresses clinical and neuroscientific questions by simulating multi-scale neural dynamics that range from local population activity to large-scale brain function and related macroscopic signals like electroencephalography and functional magnetic resonance imaging. TVB is equipped with a graphical and a command-line interface to create models that capture the characteristic biological variability to predict the brain activity of individual subjects. To enable researchers from various backgrounds a quick start into TVB and brain network modeling in general, we developed an educational module: TVB-EduPack. EduPack offers two educational functionalities that seamlessly integrate into TVB's graphical user interface (GUI): (i) interactive tutorials introduce GUI elements, guide through the basic mechanics of software usage and develop complex use-case scenarios; animations, videos and textual descriptions transport essential principles of computational neuroscience and brain modeling; (ii) an automatic script generator records model parameters and produces input files for TVB's Python programming interface; thereby, simulation configurations can be exported as scripts that allow flexible customization of the modeling process and self-defined batch- and post-processing applications while benefitting from the full power of the Python language and its toolboxes. This article covers the implementation of TVB-EduPack and its integration into TVB architecture. Like TVB, EduPack is an open source community project that lives from the participation and contribution of its users. TVB-EduPack can be obtained as part of TVB from thevirtualbrain.org. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 30% |
| Switzerland | 2 | 20% |
| Italy | 1 | 10% |
| Belgium | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 60% |
| Scientists | 3 | 30% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | 1% |
| Unknown | 72 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 22% |
| Student > Ph. D. Student | 13 | 18% |
| Student > Master | 7 | 10% |
| Student > Bachelor | 6 | 8% |
| Professor > Associate Professor | 6 | 8% |
| Other | 13 | 18% |
| Unknown | 12 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 17 | 23% |
| Engineering | 8 | 11% |
| Medicine and Dentistry | 8 | 11% |
| Agricultural and Biological Sciences | 6 | 8% |
| Computer Science | 5 | 7% |
| Other | 9 | 12% |
| Unknown | 20 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 06 December 2015.
All research outputs
#6,155,043
of 22,834,308 outputs
Outputs from Frontiers in Neuroinformatics
#307
of 749 outputs
Outputs of similar age
#95,374
of 386,751 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#1
of 7 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 749 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has gotten more attention than average, scoring higher than 58% 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 386,751 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 74% of its contemporaries.
We're also able to compare this research output to 7 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