↓ Skip to main content

MRI segmentation analysis in temporal lobe and idiopathic generalized epilepsy

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

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
41 Mendeley
Title
MRI segmentation analysis in temporal lobe and idiopathic generalized epilepsy
Published in
BMC Neurology, June 2014
DOI 10.1186/1471-2377-14-131
Pubmed ID
Authors

Hila Goldberg, Arie Weinstock, Niels Bergsland, Michael G Dwyer, Osman Farooq, Mona Sazgar, Guy Poloni, Cierra Treu, Bianca Weinstock-Guttman, Murali Ramanathan, Robert Zivadinov

Abstract

Temporal lobe epilepsy (TLE) and idiopathic generalized epilepsy (IGE) patients have each been associated with extensive brain atrophy findings, yet to date there are no reports of head to head comparison of both patient groups. Our aim was to assess and compare between tissue-specific and structural brain atrophy findings in TLE to IGE patients and to healthy controls (HC).

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 2%
Colombia 1 2%
Ethiopia 1 2%
Brazil 1 2%
Unknown 37 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 29%
Researcher 8 20%
Student > Bachelor 4 10%
Other 3 7%
Student > Postgraduate 3 7%
Other 3 7%
Unknown 8 20%
Readers by discipline Count As %
Medicine and Dentistry 15 37%
Neuroscience 8 20%
Agricultural and Biological Sciences 2 5%
Computer Science 2 5%
Physics and Astronomy 1 2%
Other 3 7%
Unknown 10 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 18 June 2014.
All research outputs
#14,196,917
of 22,757,541 outputs
Outputs from BMC Neurology
#1,220
of 2,427 outputs
Outputs of similar age
#120,010
of 228,185 outputs
Outputs of similar age from BMC Neurology
#19
of 54 outputs
Altmetric has tracked 22,757,541 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% 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 45th percentile – i.e., 45% 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 228,185 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 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 57% of its contemporaries.