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Copy number variants (CNVs): a powerful tool for iPSC-based modelling of ASD

Overview of attention for article published in Molecular Autism, June 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)

Mentioned by

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8 X users

Citations

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15 Dimensions

Readers on

mendeley
64 Mendeley
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Title
Copy number variants (CNVs): a powerful tool for iPSC-based modelling of ASD
Published in
Molecular Autism, June 2020
DOI 10.1186/s13229-020-00343-4
Pubmed ID
Authors

Danijela Drakulic, Srdjan Djurovic, Yasir Ahmed Syed, Sebastiano Trattaro, Nicolò Caporale, Anna Falk, Rivka Ofir, Vivi M. Heine, Samuel J. R. A. Chawner, Antonio Rodriguez-Moreno, Marianne B. M. van den Bree, Giuseppe Testa, Spyros Petrakis, Adrian J. Harwood

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 16%
Student > Ph. D. Student 7 11%
Student > Bachelor 7 11%
Student > Postgraduate 4 6%
Professor 3 5%
Other 8 13%
Unknown 25 39%
Readers by discipline Count As %
Medicine and Dentistry 9 14%
Psychology 9 14%
Neuroscience 7 11%
Biochemistry, Genetics and Molecular Biology 5 8%
Agricultural and Biological Sciences 5 8%
Other 3 5%
Unknown 26 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 20 December 2023.
All research outputs
#7,354,810
of 25,523,622 outputs
Outputs from Molecular Autism
#474
of 720 outputs
Outputs of similar age
#159,192
of 433,697 outputs
Outputs of similar age from Molecular Autism
#26
of 33 outputs
Altmetric has tracked 25,523,622 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 720 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.2. This one is in the 33rd percentile – i.e., 33% 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 433,697 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 63% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.