↓ Skip to main content

Fast reproducible identification and large-scale databasing of individual functional cognitive networks

Overview of attention for article published in BMC Neuroscience, October 2007
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
patent
1 patent

Citations

dimensions_citation
126 Dimensions

Readers on

mendeley
215 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Fast reproducible identification and large-scale databasing of individual functional cognitive networks
Published in
BMC Neuroscience, October 2007
DOI 10.1186/1471-2202-8-91
Pubmed ID
Authors

Philippe Pinel, Bertrand Thirion, Sébastien Meriaux, Antoinette Jobert, Julien Serres, Denis Le Bihan, Jean-Baptiste Poline, Stanislas Dehaene

Abstract

Although cognitive processes such as reading and calculation are associated with reproducible cerebral networks, inter-individual variability is considerable. Understanding the origins of this variability will require the elaboration of large multimodal databases compiling behavioral, anatomical, genetic and functional neuroimaging data over hundreds of subjects. With this goal in mind, we designed a simple and fast acquisition procedure based on a 5-minute functional magnetic resonance imaging (fMRI) sequence that can be run as easily and as systematically as an anatomical scan, and is therefore used in every subject undergoing fMRI in our laboratory. This protocol captures the cerebral bases of auditory and visual perception, motor actions, reading, language comprehension and mental calculation at an individual level.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 215 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 6 3%
United States 3 1%
Netherlands 3 1%
Belgium 2 <1%
United Kingdom 2 <1%
Cuba 1 <1%
Australia 1 <1%
Germany 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 194 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 57 27%
Student > Ph. D. Student 47 22%
Student > Master 25 12%
Professor 17 8%
Student > Bachelor 9 4%
Other 32 15%
Unknown 28 13%
Readers by discipline Count As %
Psychology 62 29%
Agricultural and Biological Sciences 29 13%
Neuroscience 29 13%
Medicine and Dentistry 21 10%
Engineering 7 3%
Other 26 12%
Unknown 41 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 09 January 2024.
All research outputs
#2,821,282
of 25,177,382 outputs
Outputs from BMC Neuroscience
#91
of 1,288 outputs
Outputs of similar age
#6,816
of 84,111 outputs
Outputs of similar age from BMC Neuroscience
#2
of 14 outputs
Altmetric has tracked 25,177,382 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,288 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 93% 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 84,111 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 91% of its contemporaries.
We're also able to compare this research output to 14 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 92% of its contemporaries.