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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Distinct Genetic Influences on Cortical and Subcortical Brain Structures
|
|---|---|
| Published in |
Scientific Reports, September 2016
|
| DOI | 10.1038/srep32760 |
| Pubmed ID | |
| Authors |
Wei Wen, Anbupalam Thalamuthu, Karen A. Mather, Wanlin Zhu, Jiyang Jiang, Pierre Lafaye de Micheaux, Margaret J. Wright, David Ames, Perminder S. Sachdev |
| Abstract |
This study examined the heritability of brain grey matter structures in a subsample of older adult twins (93 MZ and 68 DZ twin pairs; mean age 70 years) from the Older Australian Twins Study. The heritability estimates of subcortical regions ranged from 0.41 (amygdala) to 0.73 (hippocampus), and of cortical regions, from 0.55 (parietal lobe) to 0.78 (frontal lobe). Corresponding structures in the two hemispheres were influenced by the same genetic factors and high genetic correlations were observed between the two hemispheric regions. There were three genetically correlated clusters, comprising (i) the cortical lobes (frontal, temporal, parietal and occipital lobes); (ii) the basal ganglia (caudate, putamen and pallidum) with weak genetic correlations with cortical lobes, and (iii) the amygdala, hippocampus, thalamus and nucleus accumbens grouped together, which genetically correlated with both basal ganglia and cortical lobes, albeit relatively weakly. Our study demonstrates a complex but patterned and clustered genetic architecture of the human brain, with divergent genetic determinants of cortical and subcortical structures, in particular the basal ganglia. |
X Demographics
The data shown below were collected from the profiles of 31 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 13% |
| Australia | 2 | 6% |
| Ireland | 2 | 6% |
| Spain | 2 | 6% |
| United States | 1 | 3% |
| Germany | 1 | 3% |
| France | 1 | 3% |
| Argentina | 1 | 3% |
| Belgium | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 14 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 23 | 74% |
| Scientists | 6 | 19% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hong Kong | 1 | 2% |
| Unknown | 50 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 16% |
| Student > Master | 8 | 16% |
| Student > Bachelor | 6 | 12% |
| Student > Ph. D. Student | 5 | 10% |
| Student > Postgraduate | 4 | 8% |
| Other | 10 | 20% |
| Unknown | 10 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 9 | 18% |
| Psychology | 7 | 14% |
| Biochemistry, Genetics and Molecular Biology | 6 | 12% |
| Medicine and Dentistry | 4 | 8% |
| Agricultural and Biological Sciences | 3 | 6% |
| Other | 5 | 10% |
| Unknown | 17 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 131. 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 15 June 2018.
All research outputs
#324,200
of 25,738,558 outputs
Outputs from Scientific Reports
#3,687
of 142,715 outputs
Outputs of similar age
#6,228
of 346,052 outputs
Outputs of similar age from Scientific Reports
#102
of 3,737 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 142,715 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.8. This one has done particularly well, scoring higher than 97% 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 346,052 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 3,737 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.