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Cell type-specific epigenetic links to schizophrenia risk in the brain

Overview of attention for article published in Genome Biology, July 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
twitter
16 X users

Readers on

mendeley
131 Mendeley
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Title
Cell type-specific epigenetic links to schizophrenia risk in the brain
Published in
Genome Biology, July 2019
DOI 10.1186/s13059-019-1747-7
Pubmed ID
Authors

Isabel Mendizabal, Stefano Berto, Noriyoshi Usui, Kazuya Toriumi, Paramita Chatterjee, Connor Douglas, Iksoo Huh, Hyeonsoo Jeong, Thomas Layman, Carol A. Tamminga, Todd M. Preuss, Genevieve Konopka, Soojin V. Yi

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 131 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 21%
Researcher 16 12%
Student > Bachelor 15 11%
Student > Master 13 10%
Student > Doctoral Student 10 8%
Other 20 15%
Unknown 30 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 33 25%
Neuroscience 19 15%
Medicine and Dentistry 12 9%
Agricultural and Biological Sciences 10 8%
Psychology 6 5%
Other 15 11%
Unknown 36 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 07 September 2019.
All research outputs
#2,053,530
of 25,506,250 outputs
Outputs from Genome Biology
#1,735
of 4,484 outputs
Outputs of similar age
#42,470
of 360,630 outputs
Outputs of similar age from Genome Biology
#38
of 66 outputs
Altmetric has tracked 25,506,250 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,484 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 61% 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 360,630 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.