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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The genetic validation of heterogeneity in schizophrenia
|
|---|---|
| Published in |
Behavioral and Brain Functions, October 2011
|
| DOI | 10.1186/1744-9081-7-43 |
| Pubmed ID | |
| Authors |
Atsushi Tsutsumi, Stephen J Glatt, Tetsufumi Kanazawa, Seiya Kawashige, Hiroyuki Uenishi, Akira Hokyo, Takao Kaneko, Makiko Moritani, Hiroki Kikuyama, Jun Koh, Hitoshi Matsumura, Hiroshi Yoneda |
| Abstract |
Schizophrenia is a heritable disorder, however clear genetic architecture has not been detected. To overcome this state of uncertainty, the SZGene database has been established by including all published case-control genetic association studies appearing in peer-reviewed journals. In the current study, we aimed to determine if genetic variants strongly suggested by SZGene are associated with risk of schizophrenia in our case-control samples of Japanese ancestry. In addition, by employing the additive model for aggregating the effect of seven variants, we aimed to verify the genetic heterogeneity of schizophrenia diagnosed by an operative diagnostic manual, the DSM-IV. |
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 % |
|---|---|---|
| Australia | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 3 | 9% |
| Brazil | 1 | 3% |
| Unknown | 29 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 15% |
| Student > Postgraduate | 5 | 15% |
| Student > Ph. D. Student | 4 | 12% |
| Student > Bachelor | 3 | 9% |
| Student > Master | 3 | 9% |
| Other | 10 | 30% |
| Unknown | 3 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 27% |
| Biochemistry, Genetics and Molecular Biology | 5 | 15% |
| Agricultural and Biological Sciences | 4 | 12% |
| Psychology | 4 | 12% |
| Neuroscience | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 6 | 18% |
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 12 October 2011.
All research outputs
#14,137,641
of 22,653,392 outputs
Outputs from Behavioral and Brain Functions
#200
of 389 outputs
Outputs of similar age
#88,868
of 135,640 outputs
Outputs of similar age from Behavioral and Brain Functions
#3
of 6 outputs
Altmetric has tracked 22,653,392 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 389 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one is in the 44th percentile – i.e., 44% 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 135,640 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.