The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Improved Localization of Seizure Onset Zones Using Spatiotemporal Constraints and Time-Varying Source Connectivity
|
|---|---|
| Published in |
Frontiers in Neuroscience, April 2017
|
| DOI | 10.3389/fnins.2017.00156 |
| Pubmed ID | |
| Authors |
Juan D. Martinez-Vargas, Gregor Strobbe, Kristl Vonck, Pieter van Mierlo, German Castellanos-Dominguez |
| Abstract |
Presurgical evaluation of brain neural activity is commonly carried out in refractory epilepsy patients to delineate as accurately as possible the seizure onset zone (SOZ) before epilepsy surgery. In practice, any subjective interpretation of electroencephalographic (EEG) recordings is hindered mainly because of the highly stochastic behavior of the epileptic activity. We propose a new method for dynamic source connectivity analysis that aims to accurately localize the seizure onset zones by explicitly including temporal, spectral, and spatial information of the brain neural activity extracted from EEG recordings. In particular, we encode the source nonstationarities in three critical stages of processing: Inverse problem solution, estimation of the time courses extracted from the regions of interest, and connectivity assessment. With the aim to correctly encode all temporal dynamics of the seizure-related neural network, a directed functional connectivity measure is employed to quantify the information flow variations over the time window of interest. Obtained results on simulated and real EEG data confirm that the proposed approach improves the accuracy of SOZ localization. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 2 | 33% |
| Belgium | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Unknown | 66 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 16% |
| Researcher | 9 | 13% |
| Student > Ph. D. Student | 9 | 13% |
| Student > Doctoral Student | 7 | 10% |
| Other | 6 | 9% |
| Other | 11 | 16% |
| Unknown | 14 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 13 | 19% |
| Medicine and Dentistry | 11 | 16% |
| Neuroscience | 10 | 15% |
| Computer Science | 6 | 9% |
| Agricultural and Biological Sciences | 4 | 6% |
| Other | 5 | 7% |
| Unknown | 18 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 04 May 2018.
All research outputs
#7,899,670
of 25,382,440 outputs
Outputs from Frontiers in Neuroscience
#5,007
of 11,542 outputs
Outputs of similar age
#117,457
of 324,628 outputs
Outputs of similar age from Frontiers in Neuroscience
#84
of 197 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 11,542 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 56% 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 324,628 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 197 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.