↓ Skip to main content

A Model Program for Translational Medicine in Epilepsy Genetics

Overview of attention for article published in Journal of Child Neurology, January 2017
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
25 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
A Model Program for Translational Medicine in Epilepsy Genetics
Published in
Journal of Child Neurology, January 2017
DOI 10.1177/0883073816685654
Pubmed ID
Authors

Lacey A. Smith, Jeremy F. P. Ullmann, Heather E. Olson, Christelle M. El Achkar, Gessica Truglio, McKenna Kelly, Beth Rosen-Sheidley, Annapurna Poduri

Abstract

Recent technological advances in gene sequencing have led to a rapid increase in gene discovery in epilepsy. However, the ability to assess pathogenicity of variants, provide functional analysis, and develop targeted therapies has not kept pace with rapid advances in sequencing technology. Thus, although clinical genetic testing may lead to a specific molecular diagnosis for some patients, test results often lead to more questions than answers. As the field begins to focus on therapeutic applications of genetic diagnoses using precision medicine, developing processes that offer more than equivocal test results is essential. The success of precision medicine in epilepsy relies on establishing a correct genetic diagnosis, analyzing functional consequences of genetic variants, screening potential therapeutics in the preclinical laboratory setting, and initiating targeted therapy trials for patients. The authors describe the structure of a comprehensive, pediatric Epilepsy Genetics Program that can serve as a model for translational medicine in epilepsy.

X Demographics

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 20%
Researcher 4 16%
Lecturer 2 8%
Student > Bachelor 2 8%
Student > Ph. D. Student 2 8%
Other 3 12%
Unknown 7 28%
Readers by discipline Count As %
Medicine and Dentistry 6 24%
Biochemistry, Genetics and Molecular Biology 3 12%
Agricultural and Biological Sciences 2 8%
Psychology 2 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 4 16%
Unknown 7 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 15 October 2022.
All research outputs
#13,346,452
of 23,530,272 outputs
Outputs from Journal of Child Neurology
#1,040
of 2,399 outputs
Outputs of similar age
#203,768
of 423,296 outputs
Outputs of similar age from Journal of Child Neurology
#16
of 62 outputs
Altmetric has tracked 23,530,272 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,399 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 423,296 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 51% of its contemporaries.
We're also able to compare this research output to 62 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 74% of its contemporaries.