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A high resolution 7-Tesla resting-state fMRI test-retest dataset with cognitive and physiological measures

Overview of attention for article published in Scientific Data, January 2015
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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)

Mentioned by

blogs
1 blog
twitter
65 tweeters
facebook
4 Facebook pages
q&a
2 Q&A threads

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
121 Mendeley
Title
A high resolution 7-Tesla resting-state fMRI test-retest dataset with cognitive and physiological measures
Published in
Scientific Data, January 2015
DOI 10.1038/sdata.2014.54
Pubmed ID
Authors

Krzysztof J Gorgolewski, Natacha Mendes, Domenica Wilfling, Elisabeth Wladimirow, Claudine J Gauthier, Tyler Bonnen, Florence J.M Ruby, Robert Trampel, Pierre-Louis Bazin, Roberto Cozatl, Jonathan Smallwood, Daniel S Margulies

Abstract

Here we present a test-retest dataset of functional magnetic resonance imaging (fMRI) data acquired at rest. 22 participants were scanned during two sessions spaced one week apart. Each session includes two 1.5 mm isotropic whole-brain scans and one 0.75 mm isotropic scan of the prefrontal cortex, giving a total of six time-points. Additionally, the dataset includes measures of mood, sustained attention, blood pressure, respiration, pulse, and the content of self-generated thoughts (mind wandering). This data enables the investigation of sources of both intra- and inter-session variability not only limited to physiological changes, but also including alterations in cognitive and affective states, at high spatial resolution. The dataset is accompanied by a detailed experimental protocol and source code of all stimuli used.

Twitter Demographics

The data shown below were collected from the profiles of 65 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
Australia 1 <1%
Switzerland 1 <1%
United Kingdom 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 114 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 37 31%
Student > Ph. D. Student 31 26%
Student > Master 12 10%
Student > Bachelor 12 10%
Other 6 5%
Other 12 10%
Unknown 11 9%
Readers by discipline Count As %
Neuroscience 33 27%
Psychology 21 17%
Agricultural and Biological Sciences 13 11%
Medicine and Dentistry 10 8%
Computer Science 6 5%
Other 11 9%
Unknown 27 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 51. 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 08 September 2021.
All research outputs
#549,553
of 18,890,258 outputs
Outputs from Scientific Data
#207
of 1,704 outputs
Outputs of similar age
#9,080
of 304,513 outputs
Outputs of similar age from Scientific Data
#1
of 3 outputs
Altmetric has tracked 18,890,258 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,704 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one has done well, scoring higher than 87% 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 304,513 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 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them