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GWAS meta analysis identifies TSNARE1 as a novel Schizophrenia / Bipolar susceptibility locus

Overview of attention for article published in Scientific Reports, October 2013
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Title
GWAS meta analysis identifies TSNARE1 as a novel Schizophrenia / Bipolar susceptibility locus
Published in
Scientific Reports, October 2013
DOI 10.1038/srep03075
Pubmed ID
Authors

Patrick Sleiman, Dai Wang, Joseph Glessner, Dexter Hadley, Raquel E. Gur, Nadine Cohen, Qingqin Li, Hakon Hakonarson

Abstract

We carried out a GWAS meta-analysis of combined mixed-ancestry schizophrenia, schizoaffective, and bipolar cohorts that resulted in the identification of six genome-wide significant loci, including one novel locus at chr8q24.3, encompassing TSNARE1 (P = 1.28 × 10(-9)). The analysis included a total of 13,394 cases and 34,676 controls. While the function of TSNARE1 remains unknown, bioinformatic predictions based on phylogenetic ancestry indicate it may have a vertebrate-specific function in intracellular protein transport and synaptic vesicle exocytosis.

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X Demographics

The data shown below were collected from the profiles of 4 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Japan 1 1%
Mexico 1 1%
Nigeria 1 1%
Unknown 74 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 24%
Researcher 14 18%
Student > Master 8 10%
Other 7 9%
Student > Bachelor 6 8%
Other 14 18%
Unknown 11 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 25%
Biochemistry, Genetics and Molecular Biology 13 16%
Neuroscience 9 11%
Medicine and Dentistry 8 10%
Psychology 4 5%
Other 11 14%
Unknown 14 18%
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 27 October 2015.
All research outputs
#14,180,180
of 22,727,570 outputs
Outputs from Scientific Reports
#67,023
of 122,521 outputs
Outputs of similar age
#119,020
of 212,671 outputs
Outputs of similar age from Scientific Reports
#354
of 687 outputs
Altmetric has tracked 22,727,570 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 122,521 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one is in the 41st percentile – i.e., 41% 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 212,671 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 687 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.