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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genetic basis of neurocognitive decline and reduced white-matter integrity in normal human brain aging
|
|---|---|
| Published in |
Proceedings of the National Academy of Sciences of the United States of America, November 2013
|
| DOI | 10.1073/pnas.1313735110 |
| Pubmed ID | |
| Authors |
David C. Glahn, Jack W. Kent, Emma Sprooten, Vincent P. Diego, Anderson M. Winkler, Joanne E. Curran, D. Reese McKay, Emma E. Knowles, Melanie A Carless, Harald H. H. Göring, Thomas D. Dyer, Rene L. Olvera, Peter T. Fox, Laura Almasy, Jac Charlesworth, Peter Kochunov, Ravi Duggirala, John Blangero |
| Abstract |
Identification of genes associated with brain aging should markedly improve our understanding of the biological processes that govern normal age-related decline. However, challenges to identifying genes that facilitate successful brain aging are considerable, including a lack of established phenotypes and difficulties in modeling the effects of aging per se, rather than genes that influence the underlying trait. In a large cohort of randomly selected pedigrees (n = 1,129 subjects), we documented profound aging effects from young adulthood to old age (18-83 y) on neurocognitive ability and diffusion-based white-matter measures. Despite significant phenotypic correlation between white-matter integrity and tests of processing speed, working memory, declarative memory, and intelligence, no evidence for pleiotropy between these classes of phenotypes was observed. Applying an advanced quantitative gene-by-environment interaction analysis where age is treated as an environmental factor, we demonstrate a heritable basis for neurocognitive deterioration as a function of age. Furthermore, by decomposing gene-by-aging (G × A) interactions, we infer that different genes influence some neurocognitive traits as a function of age, whereas other neurocognitive traits are influenced by the same genes, but to differential levels, from young adulthood to old age. In contrast, increasing white-matter incoherence with age appears to be nongenetic. These results clearly demonstrate that traits sensitive to the genetic influences on brain aging can be identified, a critical first step in delineating the biological mechanisms of successful aging. |
X Demographics
The data shown below were collected from the profiles of 9 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 States | 3 | 33% |
| Unknown | 6 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Practitioners (doctors, other healthcare professionals) | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 3% |
| United States | 3 | 2% |
| Cuba | 2 | 1% |
| Canada | 1 | <1% |
| Russia | 1 | <1% |
| Singapore | 1 | <1% |
| Unknown | 133 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 23% |
| Researcher | 33 | 23% |
| Student > Master | 16 | 11% |
| Other | 10 | 7% |
| Student > Bachelor | 10 | 7% |
| Other | 31 | 21% |
| Unknown | 11 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 28 | 19% |
| Agricultural and Biological Sciences | 28 | 19% |
| Neuroscience | 21 | 14% |
| Medicine and Dentistry | 17 | 12% |
| Biochemistry, Genetics and Molecular Biology | 8 | 6% |
| Other | 25 | 17% |
| Unknown | 18 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 38. 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 21 March 2015.
All research outputs
#1,100,563
of 26,017,215 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#16,489
of 104,451 outputs
Outputs of similar age
#9,881
of 231,152 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#213
of 953 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 104,451 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.5. This one has done well, scoring higher than 83% 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 231,152 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 95% of its contemporaries.
We're also able to compare this research output to 953 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.