↓ Skip to main content

Multimodal Neuroimaging in Schizophrenia: Description and Dissemination

Overview of attention for article published in Neuroinformatics, August 2017
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 (80th percentile)

Mentioned by

twitter
16 X users

Citations

dimensions_citation
143 Dimensions

Readers on

mendeley
113 Mendeley
citeulike
1 CiteULike
Title
Multimodal Neuroimaging in Schizophrenia: Description and Dissemination
Published in
Neuroinformatics, August 2017
DOI 10.1007/s12021-017-9338-9
Pubmed ID
Authors

C. J. Aine, H. J. Bockholt, J. R. Bustillo, J. M. Cañive, A. Caprihan, C. Gasparovic, F. M. Hanlon, J. M. Houck, R. E. Jung, J. Lauriello, J. Liu, A. R. Mayer, N. I. Perrone-Bizzozero, S. Posse, J. M. Stephen, J. A. Turner, V. P. Clark, Vince D. Calhoun

Abstract

In this paper we describe an open-access collection of multimodal neuroimaging data in schizophrenia for release to the community. Data were acquired from approximately 100 patients with schizophrenia and 100 age-matched controls during rest as well as several task activation paradigms targeting a hierarchy of cognitive constructs. Neuroimaging data include structural MRI, functional MRI, diffusion MRI, MR spectroscopic imaging, and magnetoencephalography. For three of the hypothesis-driven projects, task activation paradigms were acquired on subsets of ~200 volunteers which examined a range of sensory and cognitive processes (e.g., auditory sensory gating, auditory/visual multisensory integration, visual transverse patterning). Neuropsychological data were also acquired and genetic material via saliva samples were collected from most of the participants and have been typed for both genome-wide polymorphism data as well as genome-wide methylation data. Some results are also presented from the individual studies as well as from our data-driven multimodal analyses (e.g., multimodal examinations of network structure and network dynamics and multitask fMRI data analysis across projects). All data will be released through the Mind Research Network's collaborative informatics and neuroimaging suite (COINS).

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users 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 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 113 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 19%
Researcher 14 12%
Student > Master 14 12%
Student > Bachelor 8 7%
Student > Doctoral Student 8 7%
Other 15 13%
Unknown 32 28%
Readers by discipline Count As %
Neuroscience 18 16%
Psychology 12 11%
Medicine and Dentistry 11 10%
Engineering 10 9%
Agricultural and Biological Sciences 5 4%
Other 18 16%
Unknown 39 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 18 August 2017.
All research outputs
#3,690,882
of 25,382,250 outputs
Outputs from Neuroinformatics
#56
of 424 outputs
Outputs of similar age
#63,018
of 322,304 outputs
Outputs of similar age from Neuroinformatics
#1
of 3 outputs
Altmetric has tracked 25,382,250 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 424 research outputs from this source. They receive a mean Attention Score of 4.8. 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 322,304 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% 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