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A hitchhiker's guide to diffusion tensor imaging

Overview of attention for article published in Frontiers in Neuroscience, January 2013
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
3 news outlets
blogs
2 blogs
twitter
33 X users
facebook
4 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
636 Dimensions

Readers on

mendeley
2187 Mendeley
citeulike
3 CiteULike
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Title
A hitchhiker's guide to diffusion tensor imaging
Published in
Frontiers in Neuroscience, January 2013
DOI 10.3389/fnins.2013.00031
Pubmed ID
Authors

José M. Soares, Paulo Marques, Victor Alves, Nuno Sousa

Abstract

Diffusion Tensor Imaging (DTI) studies are increasingly popular among clinicians and researchers as they provide unique insights into brain network connectivity. However, in order to optimize the use of DTI, several technical and methodological aspects must be factored in. These include decisions on: acquisition protocol, artifact handling, data quality control, reconstruction algorithm, and visualization approaches, and quantitative analysis methodology. Furthermore, the researcher and/or clinician also needs to take into account and decide on the most suited software tool(s) for each stage of the DTI analysis pipeline. Herein, we provide a straightforward hitchhiker's guide, covering all of the workflow's major stages. Ultimately, this guide will help newcomers navigate the most critical roadblocks in the analysis and further encourage the use of DTI.

X Demographics

X Demographics

The data shown below were collected from the profiles of 33 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 2,187 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 24 1%
Canada 10 <1%
Netherlands 9 <1%
United Kingdom 9 <1%
Spain 7 <1%
Austria 4 <1%
Germany 4 <1%
Japan 3 <1%
France 3 <1%
Other 27 1%
Unknown 2087 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 511 23%
Researcher 338 15%
Student > Master 292 13%
Student > Bachelor 209 10%
Student > Doctoral Student 151 7%
Other 290 13%
Unknown 396 18%
Readers by discipline Count As %
Neuroscience 444 20%
Medicine and Dentistry 333 15%
Psychology 304 14%
Engineering 170 8%
Agricultural and Biological Sciences 135 6%
Other 279 13%
Unknown 522 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 56. 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 07 October 2023.
All research outputs
#760,562
of 25,546,214 outputs
Outputs from Frontiers in Neuroscience
#318
of 11,607 outputs
Outputs of similar age
#5,617
of 289,775 outputs
Outputs of similar age from Frontiers in Neuroscience
#11
of 246 outputs
Altmetric has tracked 25,546,214 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 11,607 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 97% 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 289,775 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 98% of its contemporaries.
We're also able to compare this research output to 246 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 95% of its contemporaries.