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Mendeley readers
Attention Score in Context
| Title |
MIR137HG risk variant rs1625579 genotype is related to corpus callosum volume in schizophrenia
|
|---|---|
| Published in |
Neuroscience Letters, June 2015
|
| DOI | 10.1016/j.neulet.2015.06.039 |
| Pubmed ID | |
| Authors |
Veena S. Patel, Sinead Kelly, Carrie Wright, Cota Navin Gupta, Alejandro Arias-Vasquez, Nora Perrone-Bizzozero, Stefan Ehrlich, Lei Wang, Juan R. Bustillo, Derek Morris, Aiden Corvin, Dara M. Cannon, Colm McDonald, Gary Donohoe, Vince D. Calhoun, Jessica A. Turner |
| Abstract |
Genome-wide association studies implicate the MIR137HG risk variant rs1625579 (MIR137HGrv) within the host gene for microRNA-137 as a potential regulator of schizophrenia susceptibility. We examined the influence of MIR137HGrv genotype on 17 subcortical and callosal volumes in a large sample of individuals with schizophrenia and healthy controls (n=841). Although the volumes were overall reduced relative to healthy controls, for individuals with schizophrenia the homozygous MIR137HGrv risk genotype was associated with attenuated reduction of mid-posterior corpus callosum volume (p=0.001), along with trend-level effects in the adjacent central and posterior corpus callosum. These findings are unique in the literature and remain robust after analysis in ethnically homogenous and single-scanner subsets of the larger sample. Thus, our study suggests that the mechanisms whereby MIR137HGrv works to increase schizophrenia risk are not those that generate the corpus callosum volume reductions commonly found in the disorder. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 18% |
| Student > Ph. D. Student | 5 | 13% |
| Student > Master | 4 | 10% |
| Student > Bachelor | 3 | 8% |
| Other | 2 | 5% |
| Other | 7 | 18% |
| Unknown | 12 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 18% |
| Agricultural and Biological Sciences | 5 | 13% |
| Neuroscience | 5 | 13% |
| Medicine and Dentistry | 3 | 8% |
| Nursing and Health Professions | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 12 | 30% |
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 29 October 2015.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from Neuroscience Letters
#6,099
of 7,756 outputs
Outputs of similar age
#203,180
of 278,180 outputs
Outputs of similar age from Neuroscience Letters
#60
of 105 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,756 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.