↓ Skip to main content

Evaluation of subcortical grey matter abnormalities in patients with MRI-negative cortical epilepsy determined through structural and tensor magnetic resonance imaging

Overview of attention for article published in BMC Neurology, May 2014
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
58 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Evaluation of subcortical grey matter abnormalities in patients with MRI-negative cortical epilepsy determined through structural and tensor magnetic resonance imaging
Published in
BMC Neurology, May 2014
DOI 10.1186/1471-2377-14-104
Pubmed ID
Authors

Syu-Jyun Peng, Tomor Harnod, Jang-Zern Tsai, Ming-Dou Ker, Jun-Chern Chiou, Herming Chiueh, Chung-Yu Wu, Yue-Loong Hsin

Abstract

Although many studies have found abnormalities in subcortical grey matter (GM) in patients with temporal lobe epilepsy or generalised epilepsies, few studies have examined subcortical GM in focal neocortical seizures. Using structural and tensor magnetic resonance imaging (MRI), we evaluated subcortical GM from patients with extratemporal lobe epilepsy without visible lesion on MRI. Our aims were to determine whether there are structural abnormalities in these patients and to correlate the extent of any observed structural changes with clinical characteristics of disease in these patients.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
United Kingdom 1 2%
Ethiopia 1 2%
Germany 1 2%
Unknown 53 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 19%
Researcher 11 19%
Student > Master 7 12%
Student > Postgraduate 6 10%
Other 6 10%
Other 12 21%
Unknown 5 9%
Readers by discipline Count As %
Medicine and Dentistry 23 40%
Neuroscience 9 16%
Agricultural and Biological Sciences 3 5%
Biochemistry, Genetics and Molecular Biology 3 5%
Engineering 3 5%
Other 6 10%
Unknown 11 19%
Attention Score in Context

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 14 May 2014.
All research outputs
#18,371,959
of 22,755,127 outputs
Outputs from BMC Neurology
#1,880
of 2,427 outputs
Outputs of similar age
#164,021
of 227,206 outputs
Outputs of similar age from BMC Neurology
#57
of 67 outputs
Altmetric has tracked 22,755,127 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,427 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 12th percentile – i.e., 12% 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 227,206 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.