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X Demographics
Mendeley readers
| Title |
Repair rather than segregation of damage is the optimal unicellular aging strategy
|
|---|---|
| Published in |
BMC Biology, August 2014
|
| DOI | 10.1186/s12915-014-0052-x |
| Pubmed ID | |
| Authors |
Robert J Clegg, Rosemary J Dyson, Jan-Ulrich Kreft |
| Abstract |
How aging, being unfavourable for the individual, can evolve is one of the fundamental problems of biology. Evidence for aging in unicellular organisms is far from conclusive. Some studies found aging even in symmetrically dividing unicellular species; others did not find aging in the same, or in different, unicellular species, or only under stress. Mathematical models suggested that segregation of non-genetic damage, as an aging strategy, would increase fitness. However, these models failed to consider repair as an alternative strategy or did not properly account for the benefits of repair. We used a new and improved individual-based model to examine rigorously the effect of a range of aging strategies on fitness in various environments. |
X Demographics
The data shown below were collected from the profiles of 11 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 | 36% |
| Unknown | 7 | 64% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 45% |
| Members of the public | 4 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
| Unknown | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Israel | 1 | 2% |
| Unknown | 64 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 25% |
| Researcher | 15 | 23% |
| Student > Bachelor | 6 | 9% |
| Student > Master | 6 | 9% |
| Student > Doctoral Student | 4 | 6% |
| Other | 13 | 20% |
| Unknown | 5 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 35% |
| Biochemistry, Genetics and Molecular Biology | 16 | 25% |
| Physics and Astronomy | 4 | 6% |
| Mathematics | 3 | 5% |
| Nursing and Health Professions | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 10 | 15% |