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Cell Type-Specific Gene Network-Based Analysis Depicts the Heterogeneity of Autism Spectrum Disorder

Overview of attention for article published in Frontiers in Cellular Neuroscience, March 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
9 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Cell Type-Specific Gene Network-Based Analysis Depicts the Heterogeneity of Autism Spectrum Disorder
Published in
Frontiers in Cellular Neuroscience, March 2020
DOI 10.3389/fncel.2020.00059
Pubmed ID
Authors

Jinting Guan, Yiping Lin, Guoli Ji

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 24%
Student > Master 3 18%
Student > Ph. D. Student 2 12%
Student > Bachelor 2 12%
Professor 1 6%
Other 1 6%
Unknown 4 24%
Readers by discipline Count As %
Psychology 4 24%
Biochemistry, Genetics and Molecular Biology 3 18%
Neuroscience 3 18%
Physics and Astronomy 1 6%
Agricultural and Biological Sciences 1 6%
Other 0 0%
Unknown 5 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 09 April 2020.
All research outputs
#8,117,787
of 26,456,908 outputs
Outputs from Frontiers in Cellular Neuroscience
#1,478
of 4,816 outputs
Outputs of similar age
#146,062
of 395,550 outputs
Outputs of similar age from Frontiers in Cellular Neuroscience
#37
of 95 outputs
Altmetric has tracked 26,456,908 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 4,816 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 69% 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 395,550 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 62% of its contemporaries.
We're also able to compare this research output to 95 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.