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The European DTI Study on Dementia — A multicenter DTI and MRI study on Alzheimer's disease and Mild Cognitive Impairment

Overview of attention for article published in NeuroImage, April 2016
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
1 news outlet
twitter
7 X users

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
156 Mendeley
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Title
The European DTI Study on Dementia — A multicenter DTI and MRI study on Alzheimer's disease and Mild Cognitive Impairment
Published in
NeuroImage, April 2016
DOI 10.1016/j.neuroimage.2016.03.067
Pubmed ID
Authors

Katharina Brueggen, Michel J. Grothe, Martin Dyrba, Andreas Fellgiebel, Florian Fischer, Massimo Filippi, Federica Agosta, Peter Nestor, Eva Meisenzahl, Janusch Blautzik, Lutz Frölich, Lucrezia Hausner, Arun L.W. Bokde, Giovanni Frisoni, Michela Pievani, Stefan Klöppel, David Prvulovic, Frederik Barkhof, Petra J.W. Pouwels, Johannes Schröder, Harald Hampel, Karlheinz Hauenstein, Stefan Teipel

Abstract

The European DTI Study on Dementia (EDSD) is a multicenter framework created to study the diagnostic accuracy and inter-site variability of DTI-derived markers in patients with manifest and prodromal Alzheimer's disease (AD). The dynamically growing database presently includes 493 DTI, 512 T1-weighted MRI, and 300 FLAIR scans from patients with AD dementia, patients with Mild Cognitive Impairment (MCI) and matched Healthy Controls, acquired on 13 different scanner platforms. The imaging data is publicly available, along with the subjects' demographic and clinical characterization. Detailed neuropsychological information, cerebrospinal fluid information on biomarkers and clinical follow-up diagnoses are included for a subset of subjects. This paper describes the rationale and structure of the EDSD, summarizes the available data, and explains how to gain access to the database. The EDSD is a useful database for researchers seeking to investigate the contribution of DTI to dementia diagnostics.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 1%
Cuba 1 <1%
Brazil 1 <1%
Mexico 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 149 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 20%
Student > Master 23 15%
Researcher 19 12%
Other 12 8%
Student > Bachelor 10 6%
Other 37 24%
Unknown 24 15%
Readers by discipline Count As %
Neuroscience 39 25%
Psychology 23 15%
Medicine and Dentistry 22 14%
Agricultural and Biological Sciences 8 5%
Engineering 8 5%
Other 22 14%
Unknown 34 22%
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 22 December 2016.
All research outputs
#2,759,847
of 25,373,627 outputs
Outputs from NeuroImage
#2,298
of 12,204 outputs
Outputs of similar age
#43,597
of 314,992 outputs
Outputs of similar age from NeuroImage
#45
of 236 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,204 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has done well, scoring higher than 81% 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 314,992 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 86% of its contemporaries.
We're also able to compare this research output to 236 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.