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The miR‐137 schizophrenia susceptibility variant rs1625579 does not predict variability in brain volume in a sample of schizophrenic patients and healthy individuals

Overview of attention for article published in American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics: The Official Publication of the International Society of Psychiatric Genetics, July 2014
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1 X user

Citations

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Title
The miR‐137 schizophrenia susceptibility variant rs1625579 does not predict variability in brain volume in a sample of schizophrenic patients and healthy individuals
Published in
American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics: The Official Publication of the International Society of Psychiatric Genetics, July 2014
DOI 10.1002/ajmg.b.32249
Pubmed ID
Authors

Emma J. Rose, Derek W. Morris, Ciara Fahey, Dara Cannon, Colm McDonald, Cathy Scanlon, Sinead Kelly, Michael Gill, Aiden Corvin, Gary Donohoe

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 %
United States 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 15%
Researcher 5 15%
Student > Ph. D. Student 4 12%
Student > Postgraduate 3 9%
Student > Master 2 6%
Other 4 12%
Unknown 11 32%
Readers by discipline Count As %
Neuroscience 7 21%
Psychology 6 18%
Agricultural and Biological Sciences 3 9%
Biochemistry, Genetics and Molecular Biology 2 6%
Medicine and Dentistry 2 6%
Other 2 6%
Unknown 12 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 31 March 2015.
All research outputs
#22,778,604
of 25,394,764 outputs
Outputs from American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics: The Official Publication of the International Society of Psychiatric Genetics
#1,043
of 1,155 outputs
Outputs of similar age
#208,346
of 242,233 outputs
Outputs of similar age from American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics: The Official Publication of the International Society of Psychiatric Genetics
#15
of 17 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,155 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 242,233 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.