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Transcriptome analysis and functional characterization of cerebral organoids in bipolar disorder

Overview of attention for article published in Genome Medicine, April 2020
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
25 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
68 Dimensions

Readers on

mendeley
139 Mendeley
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Title
Transcriptome analysis and functional characterization of cerebral organoids in bipolar disorder
Published in
Genome Medicine, April 2020
DOI 10.1186/s13073-020-00733-6
Pubmed ID
Authors

Annie Kathuria, Kara Lopez-Lengowski, Magdalena Vater, Donna McPhie, Bruce M. Cohen, Rakesh Karmacharya

X Demographics

X Demographics

The data shown below were collected from the profiles of 25 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 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 139 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 15%
Researcher 17 12%
Student > Master 15 11%
Student > Bachelor 14 10%
Other 6 4%
Other 14 10%
Unknown 52 37%
Readers by discipline Count As %
Neuroscience 28 20%
Biochemistry, Genetics and Molecular Biology 15 11%
Medicine and Dentistry 9 6%
Agricultural and Biological Sciences 8 6%
Psychology 3 2%
Other 17 12%
Unknown 59 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 03 September 2023.
All research outputs
#2,142,907
of 25,622,179 outputs
Outputs from Genome Medicine
#468
of 1,599 outputs
Outputs of similar age
#55,413
of 403,754 outputs
Outputs of similar age from Genome Medicine
#4
of 25 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,599 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has gotten more attention than average, scoring higher than 70% 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 403,754 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 86% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.