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The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments

Overview of attention for article published in Scientific Data, June 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
1 news outlet
blogs
4 blogs
twitter
77 X users
patent
1 patent
facebook
3 Facebook pages
wikipedia
1 Wikipedia page
reddit
1 Redditor
bluesky
1 Bluesky user

Readers on

mendeley
1537 Mendeley
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Article details
Title
The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments
Published in
Scientific Data, June 2016
DOI 10.1038/sdata.2016.44
Pubmed ID
Authors
Abstract

The development of magnetic resonance imaging (MRI) techniques has defined modern neuroimaging. Since its inception, tens of thousands of studies using techniques such as functional MRI and diffusion weighted imaging have allowed for the non-invasive study of the brain. Despite the fact that MRI is routinely used to obtain data for neuroscience research, there has been no widely adopted standard for organizing and describing the data collected in an imaging experiment. This renders sharing and reusing data (within or between labs) difficult if not impossible and unnecessarily complicates the application of automatic pipelines and quality assurance protocols. To solve this problem, we have developed the Brain Imaging Data Structure (BIDS), a standard for organizing and describing MRI datasets. The BIDS standard uses file formats compatible with existing software, unifies the majority of practices already common in the field, and captures the metadata necessary for most common data processing operations.

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 77 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 1,537 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 6 <1%
United Kingdom 3 <1%
Germany 3 <1%
Netherlands 2 <1%
Taiwan 1 <1%
Norway 1 <1%
Luxembourg 1 <1%
Spain 1 <1%
Switzerland 1 <1%
Other 0 0%
Unknown 1518 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 315 20%
Researcher 313 20%
Student > Master 152 10%
Student > Bachelor 85 6%
Student > Doctoral Student 71 5%
Other 194 13%
Unknown 407 26%
Readers by discipline
Readers by discipline Count As %
Neuroscience 361 23%
Psychology 198 13%
Engineering 98 6%
Medicine and Dentistry 89 6%
Computer Science 82 5%
Other 184 12%
Unknown 525 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 84. 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 January 2026.
All research outputs
#650,289
of 34,772,654 outputs
Outputs from Scientific Data
#213
of 5,794 outputs
Outputs of similar age
#9,097
of 345,935 outputs
Outputs of similar age from Scientific Data
#4
of 33 outputs
Altmetric has tracked 34,772,654 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 5,794 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.7. This one has done particularly well, scoring higher than 96% 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 345,935 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 33 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.