↓ Skip to main content

Machine learning models for predicting seizure outcome after MR-guided laser interstitial thermal therapy in children.

Overview of attention for article published in Journal of Neurosurgery: Pediatrics, October 2023
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
2 news outlets
twitter
9 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
4 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
Machine learning models for predicting seizure outcome after MR-guided laser interstitial thermal therapy in children.
Published in
Journal of Neurosurgery: Pediatrics, October 2023
DOI 10.3171/2023.8.peds23240
Pubmed ID
Authors

Omar Yossofzai, Scellig S D Stone, Joseph R Madsen, Shelly Wang, John Ragheb, Ismail Mohamed, Robert J Bollo, Dave Clarke, M Scott Perry, Alexander G Weil, Jeffrey S Raskin, Jonathan Pindrik, Raheel Ahmed, Sandi K Lam, Aria Fallah, Cassia Maniquis, Andrea Andrade, George M Ibrahim, James Drake, James T Rutka, Jignesh Tailor, Nicholas Mitsakakis, Elysa Widjaja

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Researcher 1 25%
Unknown 2 50%
Readers by discipline Count As %
Neuroscience 1 25%
Medicine and Dentistry 1 25%
Unknown 2 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 24 November 2023.
All research outputs
#1,997,874
of 26,094,193 outputs
Outputs from Journal of Neurosurgery: Pediatrics
#110
of 1,685 outputs
Outputs of similar age
#33,978
of 366,330 outputs
Outputs of similar age from Journal of Neurosurgery: Pediatrics
#1
of 34 outputs
Altmetric has tracked 26,094,193 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,685 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done particularly well, scoring higher than 93% 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 366,330 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.