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Segmentation of corpus callosum using diffusion tensor imaging: validation in patients with glioblastoma

Overview of attention for article published in BMC Medical Imaging, May 2012
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Mentioned by

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1 tweeter

Citations

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17 Dimensions

Readers on

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44 Mendeley
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Title
Segmentation of corpus callosum using diffusion tensor imaging: validation in patients with glioblastoma
Published in
BMC Medical Imaging, May 2012
DOI 10.1186/1471-2342-12-10
Pubmed ID
Authors

Mohammad-Reza Nazem-Zadeh, Sona Saksena, Abbas Babajani-Fermi, Quan Jiang, Hamid Soltanian-Zadeh, Mark Rosenblum, Tom Mikkelsen, Rajan Jain

Abstract

This paper presents a three-dimensional (3D) method for segmenting corpus callosum in normal subjects and brain cancer patients with glioblastoma.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 5%
United States 1 2%
Canada 1 2%
Germany 1 2%
Unknown 39 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 23%
Student > Master 8 18%
Researcher 6 14%
Student > Doctoral Student 5 11%
Student > Bachelor 4 9%
Other 7 16%
Unknown 4 9%
Readers by discipline Count As %
Medicine and Dentistry 13 30%
Agricultural and Biological Sciences 7 16%
Computer Science 5 11%
Engineering 5 11%
Psychology 4 9%
Other 5 11%
Unknown 5 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 16 May 2012.
All research outputs
#7,482,362
of 9,696,449 outputs
Outputs from BMC Medical Imaging
#184
of 239 outputs
Outputs of similar age
#71,318
of 102,714 outputs
Outputs of similar age from BMC Medical Imaging
#7
of 7 outputs
Altmetric has tracked 9,696,449 research outputs across all sources so far. This one is in the 12th percentile – i.e., 12% of other outputs scored the same or lower than it.
So far Altmetric has tracked 239 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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 102,714 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.