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Aberrant DNA Methylation of Blood in Schizophrenia by Adjusting for Estimated Cellular Proportions

Overview of attention for article published in NeuroMolecular Medicine, July 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
3 X users
googleplus
1 Google+ user

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
55 Mendeley
Title
Aberrant DNA Methylation of Blood in Schizophrenia by Adjusting for Estimated Cellular Proportions
Published in
NeuroMolecular Medicine, July 2014
DOI 10.1007/s12017-014-8319-5
Pubmed ID
Authors

Makoto Kinoshita, Shusuke Numata, Atsushi Tajima, Kazutaka Ohi, Ryota Hashimoto, Shinji Shimodera, Issei Imoto, Masatoshi Takeda, Tetsuro Ohmori

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

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 22%
Student > Master 9 16%
Researcher 7 13%
Student > Postgraduate 4 7%
Student > Bachelor 3 5%
Other 7 13%
Unknown 13 24%
Readers by discipline Count As %
Medicine and Dentistry 9 16%
Agricultural and Biological Sciences 9 16%
Neuroscience 6 11%
Biochemistry, Genetics and Molecular Biology 5 9%
Engineering 2 4%
Other 7 13%
Unknown 17 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 21 July 2015.
All research outputs
#8,158,001
of 25,837,817 outputs
Outputs from NeuroMolecular Medicine
#196
of 489 outputs
Outputs of similar age
#73,551
of 241,587 outputs
Outputs of similar age from NeuroMolecular Medicine
#2
of 10 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 489 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 58% 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 241,587 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 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.