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Brain tissue compartment density estimated using diffusion‐weighted MRI yields tissue parameters consistent with histology

Overview of attention for article published in Human Brain Mapping, June 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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1 news outlet
blogs
1 blog
twitter
11 X users

Citations

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118 Dimensions

Readers on

mendeley
143 Mendeley
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1 CiteULike
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Title
Brain tissue compartment density estimated using diffusion‐weighted MRI yields tissue parameters consistent with histology
Published in
Human Brain Mapping, June 2015
DOI 10.1002/hbm.22872
Pubmed ID
Authors

Farshid Sepehrband, Kristi A Clark, Jeremy F P Ullmann, Nyoman D Kurniawan, Gayeshika Leanage, David C Reutens, Zhengyi Yang

Abstract

We examined whether quantitative density measures of cerebral tissue consistent with histology can be obtained from diffusion magnetic resonance imaging (MRI). By incorporating prior knowledge of myelin and cell membrane densities, absolute tissue density values were estimated from relative intracellular and intraneurite density values obtained from diffusion MRI. The NODDI (neurite orientation distribution and density imaging) technique, which can be applied clinically, was used. Myelin density estimates were compared with the results of electron and light microscopy in ex vivo mouse brain and with published density estimates in a healthy human brain. In ex vivo mouse brain, estimated myelin densities in different subregions of the mouse corpus callosum were almost identical to values obtained from electron microscopy (diffusion MRI: 42 ± 6%, 36 ± 4%, and 43 ± 5%; electron microscopy: 41 ± 10%, 36 ± 8%, and 44 ± 12% in genu, body and splenium, respectively). In the human brain, good agreement was observed between estimated fiber density measurements and previously reported values based on electron microscopy. Estimated density values were unaffected by crossing fibers. Hum Brain Mapp, 2015. © 2015 Wiley Periodicals, Inc.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 2 1%
United States 1 <1%
Ireland 1 <1%
Canada 1 <1%
Unknown 138 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 24%
Student > Ph. D. Student 29 20%
Student > Master 18 13%
Student > Bachelor 8 6%
Professor > Associate Professor 7 5%
Other 23 16%
Unknown 24 17%
Readers by discipline Count As %
Neuroscience 30 21%
Medicine and Dentistry 15 10%
Psychology 13 9%
Agricultural and Biological Sciences 10 7%
Engineering 10 7%
Other 19 13%
Unknown 46 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 08 May 2020.
All research outputs
#1,629,198
of 24,873,243 outputs
Outputs from Human Brain Mapping
#371
of 4,356 outputs
Outputs of similar age
#20,347
of 271,971 outputs
Outputs of similar age from Human Brain Mapping
#12
of 89 outputs
Altmetric has tracked 24,873,243 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,356 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has done particularly well, scoring higher than 91% 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 271,971 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 92% of its contemporaries.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.