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Identification of Key Genes and the Pathophysiology Associated With Major Depressive Disorder Patients Based on Integrated Bioinformatics Analysis

Overview of attention for article published in Frontiers in Psychiatry, April 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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7 X users

Citations

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18 Dimensions

Readers on

mendeley
57 Mendeley
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Title
Identification of Key Genes and the Pathophysiology Associated With Major Depressive Disorder Patients Based on Integrated Bioinformatics Analysis
Published in
Frontiers in Psychiatry, April 2020
DOI 10.3389/fpsyt.2020.00192
Pubmed ID
Authors

Guangyin Zhang, Shixin Xu, Zhenqing Zhang, Yu Zhang, Yankun Wu, Jing An, Jinyu Lin, Zhuo Yuan, Li Shen, Tianmei Si

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 14%
Student > Bachelor 6 11%
Researcher 6 11%
Student > Master 5 9%
Student > Doctoral Student 3 5%
Other 6 11%
Unknown 23 40%
Readers by discipline Count As %
Medicine and Dentistry 9 16%
Biochemistry, Genetics and Molecular Biology 6 11%
Neuroscience 4 7%
Agricultural and Biological Sciences 4 7%
Computer Science 2 4%
Other 8 14%
Unknown 24 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 May 2020.
All research outputs
#6,660,418
of 25,936,091 outputs
Outputs from Frontiers in Psychiatry
#3,158
of 12,937 outputs
Outputs of similar age
#126,119
of 400,929 outputs
Outputs of similar age from Frontiers in Psychiatry
#127
of 384 outputs
Altmetric has tracked 25,936,091 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 12,937 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has done well, scoring higher than 75% 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 400,929 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 68% of its contemporaries.
We're also able to compare this research output to 384 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 66% of its contemporaries.