| Title |
The Scalable Brain Atlas: Instant Web-Based Access to Public Brain Atlases and Related Content
|
|---|---|
| Published in |
Neuroinformatics, February 2015
|
| DOI | 10.1007/s12021-014-9258-x |
| Pubmed ID | |
| Authors |
Rembrandt Bakker, Paul Tiesinga, Rolf Kötter |
| Abstract |
The Scalable Brain Atlas (SBA) is a collection of web services that provide unified access to a large collection of brain atlas templates for different species. Its main component is an atlas viewer that displays brain atlas data as a stack of slices in which stereotaxic coordinates and brain regions can be selected. These are subsequently used to launch web queries to resources that require coordinates or region names as input. It supports plugins which run inside the viewer and respond when a new slice, coordinate or region is selected. It contains 20 atlas templates in six species, and plugins to compute coordinate transformations, display anatomical connectivity and fiducial points, and retrieve properties, descriptions, definitions and 3d reconstructions of brain regions. The ambition of SBA is to provide a unified representation of all publicly available brain atlases directly in the web browser, while remaining a responsive and light weight resource that specializes in atlas comparisons, searches, coordinate transformations and interactive displays. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 50% |
| Unknown | 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 195 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Germany | 1 | <1% |
| France | 1 | <1% |
| Unknown | 191 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 41 | 21% |
| Researcher | 32 | 16% |
| Student > Master | 28 | 14% |
| Student > Bachelor | 20 | 10% |
| Student > Doctoral Student | 15 | 8% |
| Other | 23 | 12% |
| Unknown | 36 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 52 | 27% |
| Agricultural and Biological Sciences | 24 | 12% |
| Medicine and Dentistry | 16 | 8% |
| Engineering | 15 | 8% |
| Computer Science | 13 | 7% |
| Other | 31 | 16% |
| Unknown | 44 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 04 August 2021.
All research outputs
#17,748,987
of 22,792,160 outputs
Outputs from Neuroinformatics
#304
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Outputs of similar age
#173,480
of 255,126 outputs
Outputs of similar age from Neuroinformatics
#3
of 7 outputs
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