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ZENODO
Dataset . 2023
License: CC BY SA
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY SA
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY SA
Data sources: Datacite
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IXI CAT preprocessed data

Authors: Shammi More; Kaustubh Patil;

IXI CAT preprocessed data

Abstract

The files include feature spaces derived from voxel-wise gray matter volumes from the IXI dataset (https://brain-development.org/ixi-dataset/). T1-weighted images were preprocessed using Computational Anatomy Toolbox (CAT) version 12.8 (https://neuro-jena.github.io/cat/) and normalized gray matter segments (linear and non-linearly modulated) were used to calculate features. First, a whole-brain mask was used to select 238,955 voxels. Then, smoothing (S) with either 4 or 8 mm FWHM Gaussian kernel and resampling (R) using linear interpolation to 4 or 8 mm spatial resolution was applied (S4_R4: 29,852 features and S4_R8: 3747 features). IXI data is made available under the Creative Commons CC BY-SA 4.0 International license. If you use these features/data please acknowledge the source of the IXI data i.e., https://brain-development.org/ixi-dataset/.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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