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DTIPrep: quality control of diffusion-weighted images

Overview of attention for article published in Frontiers in Neuroinformatics, January 2014
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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 (81st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
9 X users
googleplus
1 Google+ user

Readers on

mendeley
315 Mendeley
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Title
DTIPrep: quality control of diffusion-weighted images
Published in
Frontiers in Neuroinformatics, January 2014
DOI 10.3389/fninf.2014.00004
Pubmed ID
Authors

Ipek Oguz, Mahshid Farzinfar, Joy Matsui, Francois Budin, Zhexing Liu, Guido Gerig, Hans J. Johnson, Martin Styner

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 315 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 2%
Canada 2 <1%
Austria 2 <1%
Germany 1 <1%
France 1 <1%
United Kingdom 1 <1%
Unknown 302 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 74 23%
Researcher 62 20%
Student > Master 38 12%
Student > Doctoral Student 24 8%
Student > Bachelor 19 6%
Other 46 15%
Unknown 52 17%
Readers by discipline Count As %
Neuroscience 62 20%
Psychology 46 15%
Engineering 38 12%
Medicine and Dentistry 28 9%
Agricultural and Biological Sciences 17 5%
Other 42 13%
Unknown 82 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 28 October 2015.
All research outputs
#5,374,479
of 25,837,817 outputs
Outputs from Frontiers in Neuroinformatics
#255
of 847 outputs
Outputs of similar age
#58,607
of 322,344 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#8
of 22 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 847 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 69% 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 322,344 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 81% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.