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Alteration in basal and depolarization induced transcriptional network in iPSC derived neurons from Timothy syndrome

Overview of attention for article published in Genome Medicine, October 2014
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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 (83rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
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4 X users

Citations

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75 Dimensions

Readers on

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152 Mendeley
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Title
Alteration in basal and depolarization induced transcriptional network in iPSC derived neurons from Timothy syndrome
Published in
Genome Medicine, October 2014
DOI 10.1186/s13073-014-0075-5
Pubmed ID
Authors

Yuan Tian, Irina Voineagu, Sergiu P Paşca, Hyejung Won, Vijayendran Chandran, Steve Horvath, Ricardo E Dolmetsch, Daniel H Geschwind

Abstract

Common genetic variation and rare mutations in genes encoding calcium channel subunits have pleiotropic effects on risk for multiple neuropsychiatric disorders, including autism spectrum disorder (ASD) and schizophrenia. To gain further mechanistic insights by extending previous gene expression data, we constructed co-expression networks in Timothy syndrome (TS), a monogenic condition with high penetrance for ASD, caused by mutations in the L-type calcium channel, Cav1.2.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
United Kingdom 2 1%
Germany 1 <1%
Unknown 146 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 23%
Student > Ph. D. Student 25 16%
Student > Bachelor 17 11%
Student > Master 17 11%
Other 10 7%
Other 29 19%
Unknown 19 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 25%
Biochemistry, Genetics and Molecular Biology 28 18%
Neuroscience 23 15%
Medicine and Dentistry 18 12%
Psychology 5 3%
Other 15 10%
Unknown 25 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 19 February 2015.
All research outputs
#3,653,483
of 22,769,322 outputs
Outputs from Genome Medicine
#766
of 1,437 outputs
Outputs of similar age
#42,091
of 255,612 outputs
Outputs of similar age from Genome Medicine
#29
of 50 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,437 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.7. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 255,612 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 83% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.