| Title |
MEG-BIDS, the brain imaging data structure extended to magnetoencephalography
|
|---|---|
| Published in |
Scientific Data, June 2018
|
| DOI | 10.1038/sdata.2018.110 |
| Pubmed ID | |
| Authors |
Guiomar Niso, Krzysztof J. Gorgolewski, Elizabeth Bock, Teon L. Brooks, Guillaume Flandin, Alexandre Gramfort, Richard N. Henson, Mainak Jas, Vladimir Litvak, Jeremy T. Moreau, Robert Oostenveld, Jan-Mathijs Schoffelen, Francois Tadel, Joseph Wexler, Sylvain Baillet |
| Abstract |
We present a significant extension of the Brain Imaging Data Structure (BIDS) to support the specific aspects of magnetoencephalography (MEG) data. MEG measures brain activity with millisecond temporal resolution and unique source imaging capabilities. So far, BIDS was a solution to organise magnetic resonance imaging (MRI) data. The nature and acquisition parameters of MRI and MEG data are strongly dissimilar. Although there is no standard data format for MEG, we propose MEG-BIDS as a principled solution to store, organise, process and share the multidimensional data volumes produced by the modality. The standard also includes well-defined metadata, to facilitate future data harmonisation and sharing efforts. This responds to unmet needs from the multimodal neuroimaging community and paves the way to further integration of other techniques in electrophysiology. MEG-BIDS builds on MRI-BIDS, extending BIDS to a multimodal data structure. We feature several data-analytics software that have adopted MEG-BIDS, and a diverse sample of open MEG-BIDS data resources available to everyone. |
X Demographics
The data shown below were collected from the profiles of 145 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 | 32 | 22% |
| United Kingdom | 13 | 9% |
| France | 11 | 8% |
| Canada | 9 | 6% |
| Australia | 4 | 3% |
| Sweden | 4 | 3% |
| Netherlands | 3 | 2% |
| Denmark | 3 | 2% |
| Spain | 3 | 2% |
| Other | 14 | 10% |
| Unknown | 49 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 79 | 54% |
| Scientists | 59 | 41% |
| Practitioners (doctors, other healthcare professionals) | 5 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 159 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 40 | 25% |
| Student > Ph. D. Student | 29 | 18% |
| Student > Master | 13 | 8% |
| Student > Doctoral Student | 11 | 7% |
| Student > Bachelor | 11 | 7% |
| Other | 27 | 17% |
| Unknown | 28 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 53 | 33% |
| Psychology | 16 | 10% |
| Medicine and Dentistry | 13 | 8% |
| Engineering | 11 | 7% |
| Computer Science | 9 | 6% |
| Other | 13 | 8% |
| Unknown | 44 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 92. 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 15 April 2022.
All research outputs
#462,590
of 25,432,721 outputs
Outputs from Scientific Data
#154
of 3,344 outputs
Outputs of similar age
#10,071
of 341,687 outputs
Outputs of similar age from Scientific Data
#1
of 68 outputs
Altmetric has tracked 25,432,721 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,344 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.0. This one has done particularly well, scoring higher than 95% of its peers.
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We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.