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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Visbrain: A Multi-Purpose GPU-Accelerated Open-Source Suite for Multimodal Brain Data Visualization
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, March 2019
|
| DOI | 10.3389/fninf.2019.00014 |
| Pubmed ID | |
| Authors |
Etienne Combrisson, Raphael Vallat, Christian O'Reilly, Mainak Jas, Annalisa Pascarella, Anne-lise Saive, Thomas Thiery, David Meunier, Dmitrii Altukhov, Tarek Lajnef, Perrine Ruby, Aymeric Guillot, Karim Jerbi |
X Demographics
The data shown below were collected from the profiles of 24 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 4 | 17% |
| United Kingdom | 3 | 13% |
| Canada | 3 | 13% |
| United States | 3 | 13% |
| India | 1 | 4% |
| Australia | 1 | 4% |
| Switzerland | 1 | 4% |
| Turkey | 1 | 4% |
| Unknown | 7 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 14 | 58% |
| Members of the public | 9 | 38% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 96 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 22% |
| Student > Master | 13 | 14% |
| Researcher | 11 | 11% |
| Student > Bachelor | 8 | 8% |
| Professor > Associate Professor | 5 | 5% |
| Other | 10 | 10% |
| Unknown | 28 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 22 | 23% |
| Engineering | 10 | 10% |
| Computer Science | 8 | 8% |
| Medicine and Dentistry | 6 | 6% |
| Psychology | 3 | 3% |
| Other | 14 | 15% |
| Unknown | 33 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 02 June 2023.
All research outputs
#2,036,923
of 23,920,246 outputs
Outputs from Frontiers in Neuroinformatics
#73
of 780 outputs
Outputs of similar age
#46,998
of 353,785 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#4
of 24 outputs
Altmetric has tracked 23,920,246 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 780 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done particularly well, scoring higher than 90% 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 353,785 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 86% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.