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Identification of major depressive disorder disease-related genes and functional pathways based on system dynamic changes of network connectivity

Overview of attention for article published in BMC Medical Genomics, February 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
16 Mendeley
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Title
Identification of major depressive disorder disease-related genes and functional pathways based on system dynamic changes of network connectivity
Published in
BMC Medical Genomics, February 2021
DOI 10.1186/s12920-021-00908-z
Pubmed ID
Authors

Ruijie Geng, Xiao Huang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 %
Student > Ph. D. Student 3 19%
Researcher 3 19%
Student > Bachelor 2 13%
Student > Master 1 6%
Lecturer > Senior Lecturer 1 6%
Other 0 0%
Unknown 6 38%
Readers by discipline Count As %
Medicine and Dentistry 2 13%
Mathematics 1 6%
Nursing and Health Professions 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Psychology 1 6%
Other 3 19%
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 24 February 2021.
All research outputs
#14,970,714
of 23,942,830 outputs
Outputs from BMC Medical Genomics
#589
of 1,269 outputs
Outputs of similar age
#231,303
of 420,838 outputs
Outputs of similar age from BMC Medical Genomics
#15
of 47 outputs
Altmetric has tracked 23,942,830 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,269 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 51% 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 420,838 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 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 65% of its contemporaries.