Title |
A Multi-Cohort Study of Polymorphisms in the GH/IGF Axis and Physical Capability: The HALCyon Programme
|
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Published in |
PLOS ONE, January 2012
|
DOI | 10.1371/journal.pone.0029883 |
Pubmed ID | |
Authors |
Tamuno Alfred, Yoav Ben-Shlomo, Rachel Cooper, Rebecca Hardy, Cyrus Cooper, Ian J. Deary, Tom R. Gaunt, David Gunnell, Sarah E. Harris, Meena Kumari, Richard M. Martin, Avan Aihie Sayer, John M. Starr, Diana Kuh, Ian N. M. Day |
Abstract |
Low muscle mass and function have been associated with poorer indicators of physical capability in older people, which are in-turn associated with increased mortality rates. The growth hormone/insulin-like growth factor (GH/IGF) axis is involved in muscle function and genetic variants in genes in the axis may influence measures of physical capability. |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 4% |
Brazil | 2 | 3% |
Unknown | 65 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 19% |
Researcher | 10 | 14% |
Student > Master | 7 | 10% |
Student > Doctoral Student | 5 | 7% |
Student > Postgraduate | 5 | 7% |
Other | 14 | 20% |
Unknown | 16 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 24 | 34% |
Agricultural and Biological Sciences | 5 | 7% |
Sports and Recreations | 4 | 6% |
Psychology | 4 | 6% |
Social Sciences | 4 | 6% |
Other | 10 | 14% |
Unknown | 19 | 27% |