↓ Skip to main content

De novo missense variants disrupting protein–protein interactions affect risk for autism through gene co-expression and protein networks in neuronal cell types

Overview of attention for article published in Molecular Autism, October 2020
Altmetric Badge

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 (80th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

blogs
1 blog
twitter
5 X users

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
55 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
De novo missense variants disrupting protein–protein interactions affect risk for autism through gene co-expression and protein networks in neuronal cell types
Published in
Molecular Autism, October 2020
DOI 10.1186/s13229-020-00386-7
Pubmed ID
Authors

Siwei Chen, Jiebiao Wang, Ercument Cicek, Kathryn Roeder, Haiyuan Yu, Bernie Devlin

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 16%
Student > Bachelor 8 15%
Researcher 5 9%
Student > Postgraduate 5 9%
Student > Master 5 9%
Other 7 13%
Unknown 16 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 22%
Agricultural and Biological Sciences 7 13%
Neuroscience 6 11%
Psychology 5 9%
Computer Science 2 4%
Other 7 13%
Unknown 16 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 28 April 2021.
All research outputs
#2,976,314
of 23,248,929 outputs
Outputs from Molecular Autism
#285
of 677 outputs
Outputs of similar age
#78,968
of 415,365 outputs
Outputs of similar age from Molecular Autism
#10
of 26 outputs
Altmetric has tracked 23,248,929 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 677 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.1. 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 415,365 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 80% of its contemporaries.
We're also able to compare this research output to 26 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 61% of its contemporaries.