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Dissecting the genetic basis of comorbid epilepsy phenotypes in neurodevelopmental disorders

Overview of attention for article published in Genome Medicine, October 2019
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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 (84th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
17 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
70 Mendeley
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Title
Dissecting the genetic basis of comorbid epilepsy phenotypes in neurodevelopmental disorders
Published in
Genome Medicine, October 2019
DOI 10.1186/s13073-019-0678-y
Pubmed ID
Authors

Julie Chow, Matthew Jensen, Hajar Amini, Farhad Hormozdiari, Osnat Penn, Sagiv Shifman, Santhosh Girirajan, Fereydoun Hormozdiari

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 16%
Student > Ph. D. Student 9 13%
Student > Master 9 13%
Student > Doctoral Student 7 10%
Student > Bachelor 4 6%
Other 12 17%
Unknown 18 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 14%
Medicine and Dentistry 8 11%
Psychology 7 10%
Neuroscience 7 10%
Agricultural and Biological Sciences 3 4%
Other 15 21%
Unknown 20 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 07 January 2024.
All research outputs
#2,959,272
of 25,337,969 outputs
Outputs from Genome Medicine
#670
of 1,574 outputs
Outputs of similar age
#58,911
of 369,536 outputs
Outputs of similar age from Genome Medicine
#14
of 23 outputs
Altmetric has tracked 25,337,969 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,574 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.9. This one has gotten more attention than average, scoring higher than 57% 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 369,536 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.