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Characterization of genome-wide association study data reveals spatiotemporal heterogeneity of mental disorders

Overview of attention for article published in BMC Medical Genomics, December 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Characterization of genome-wide association study data reveals spatiotemporal heterogeneity of mental disorders
Published in
BMC Medical Genomics, December 2020
DOI 10.1186/s12920-020-00832-8
Pubmed ID
Authors

Yulin Dai, Timothy D. O’Brien, Guangsheng Pei, Zhongming Zhao, Peilin Jia

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 21%
Student > Ph. D. Student 6 18%
Student > Bachelor 3 9%
Student > Doctoral Student 2 6%
Other 1 3%
Other 1 3%
Unknown 14 41%
Readers by discipline Count As %
Medicine and Dentistry 6 18%
Psychology 3 9%
Agricultural and Biological Sciences 2 6%
Biochemistry, Genetics and Molecular Biology 2 6%
Social Sciences 2 6%
Other 4 12%
Unknown 15 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 10 March 2021.
All research outputs
#14,245,067
of 23,270,775 outputs
Outputs from BMC Medical Genomics
#551
of 1,249 outputs
Outputs of similar age
#259,668
of 502,851 outputs
Outputs of similar age from BMC Medical Genomics
#15
of 38 outputs
Altmetric has tracked 23,270,775 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,249 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 54% 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 502,851 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 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 60% of its contemporaries.