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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Multi-facetted Visual Analytics Tool for Exploratory Analysis of Human Brain and Function Datasets
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, August 2016
|
| DOI | 10.3389/fninf.2016.00036 |
| Pubmed ID | |
| Authors |
Diego A. Angulo, Cyril Schneider, James H. Oliver, Nathalie Charpak, Jose T. Hernandez |
| Abstract |
Brain research typically requires large amounts of data from different sources, and often of different nature. The use of different software tools adapted to the nature of each data source can make research work cumbersome and time consuming. It follows that data is not often used to its fullest potential thus limiting exploratory analysis. This paper presents an ancillary software tool called BRAVIZ that integrates interactive visualization with real-time statistical analyses, facilitating access to multi-facetted neuroscience data and automating many cumbersome and error-prone tasks required to explore such data. Rather than relying on abstract numerical indicators, BRAVIZ emphasizes brain images as the main object of the analysis process of individuals or groups. BRAVIZ facilitates exploration of trends or relationships to gain an integrated view of the phenomena studied, thus motivating discovery of new hypotheses. A case study is presented that incorporates brain structure and function outcomes together with different types of clinical data. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 34 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 26% |
| Researcher | 4 | 11% |
| Professor > Associate Professor | 4 | 11% |
| Other | 3 | 9% |
| Student > Master | 3 | 9% |
| Other | 7 | 20% |
| Unknown | 5 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 17% |
| Medicine and Dentistry | 5 | 14% |
| Neuroscience | 5 | 14% |
| Engineering | 4 | 11% |
| Business, Management and Accounting | 2 | 6% |
| Other | 5 | 14% |
| Unknown | 8 | 23% |
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 14 February 2023.
All research outputs
#6,985,211
of 23,351,247 outputs
Outputs from Frontiers in Neuroinformatics
#330
of 766 outputs
Outputs of similar age
#108,664
of 344,500 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#7
of 18 outputs
Altmetric has tracked 23,351,247 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 766 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has gotten more attention than average, scoring higher than 56% 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 344,500 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 68% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.