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Expansion of Schizophrenia Gene Network Knowledge Using Machine Learning Selected Signals From Dorsolateral Prefrontal Cortex and Amygdala RNA-seq Data

Overview of attention for article published in Frontiers in Psychiatry, March 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

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5 X users

Citations

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10 Dimensions

Readers on

mendeley
16 Mendeley
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Title
Expansion of Schizophrenia Gene Network Knowledge Using Machine Learning Selected Signals From Dorsolateral Prefrontal Cortex and Amygdala RNA-seq Data
Published in
Frontiers in Psychiatry, March 2022
DOI 10.3389/fpsyt.2022.797329
Pubmed ID
Authors

Yichuan Liu, Hui-Qi Qu, Xiao Chang, Lifeng Tian, Joseph Glessner, Patrick A. M. Sleiman, Hakon Hakonarson

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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 19%
Student > Doctoral Student 2 13%
Student > Ph. D. Student 2 13%
Student > Master 1 6%
Student > Bachelor 1 6%
Other 0 0%
Unknown 7 44%
Readers by discipline Count As %
Neuroscience 4 25%
Agricultural and Biological Sciences 1 6%
Psychology 1 6%
Computer Science 1 6%
Medicine and Dentistry 1 6%
Other 1 6%
Unknown 7 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 2022.
All research outputs
#13,867,381
of 23,507,888 outputs
Outputs from Frontiers in Psychiatry
#4,326
of 10,611 outputs
Outputs of similar age
#192,833
of 441,268 outputs
Outputs of similar age from Frontiers in Psychiatry
#249
of 779 outputs
Altmetric has tracked 23,507,888 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,611 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. 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 441,268 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 54% of its contemporaries.
We're also able to compare this research output to 779 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 67% of its contemporaries.