| 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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 4% |
| United States | 1 | 2% |
| Canada | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 44 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 22% |
| Student > Master | 8 | 16% |
| Researcher | 6 | 12% |
| Student > Doctoral Student | 5 | 10% |
| Student > Bachelor | 4 | 8% |
| Other | 5 | 10% |
| Unknown | 10 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 27% |
| Agricultural and Biological Sciences | 7 | 14% |
| Computer Science | 5 | 10% |
| Engineering | 5 | 10% |
| Psychology | 4 | 8% |
| Other | 4 | 8% |
| Unknown | 11 | 22% |
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
#18,306,425
of 22,665,794 outputs
Outputs from BMC Medical Imaging
#360
of 588 outputs
Outputs of similar age
#126,210
of 163,779 outputs
Outputs of similar age from BMC Medical Imaging
#7
of 7 outputs
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So far Altmetric has tracked 588 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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