↓ Skip to main content

Development and validation of a predictive model of drug-resistant genetic generalized epilepsy.

Overview of attention for article published in Neurology, August 2020
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
14 news outlets
blogs
4 blogs
twitter
11 X users
facebook
2 Facebook pages

Readers on

mendeley
55 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.
Article details
Title
Development and validation of a predictive model of drug-resistant genetic generalized epilepsy.
Published in
Neurology, August 2020
DOI 10.1212/wnl.0000000000010597
Pubmed ID
Authors

Hyunmi Choi, Kamil Detyniecki, Carl Bazil, Suzanne Thornton, Peter Crosta, Hatem Tolba, Manahil Muneeb, Lawrence J. Hirsch, Erin L. Heinzen, Arjune Sen, Chantal Depondt, Piero Perucca, Gary A. Heiman, Jane Adcock, Danielle Andrade, Gianpiero Cavalleri, Daniel Costello, Normal Delanty, Patricia Dugan, David Goldstein, Patrick Kwan, Fabio Nascimento, Terence O’Brien, Rod Radthke, Philip Smith, Rhys Thomas

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 5 9%
Other 3 5%
Student > Master 3 5%
Researcher 3 5%
Student > Postgraduate 3 5%
Other 8 15%
Unknown 30 55%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 11 20%
Neuroscience 5 9%
Arts and Humanities 1 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Agricultural and Biological Sciences 1 2%
Other 2 4%
Unknown 34 62%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 126. 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 October 2020.
All research outputs
#400,394
of 32,430,365 outputs
Outputs from Neurology
#884
of 25,272 outputs
Outputs of similar age
#9,738
of 444,541 outputs
Outputs of similar age from Neurology
#20
of 529 outputs
Altmetric has tracked 32,430,365 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 25,272 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.7. This one has done particularly well, scoring higher than 96% 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 444,541 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 97% of its contemporaries.
We're also able to compare this research output to 529 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 96% of its contemporaries.