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Repair rather than segregation of damage is the optimal unicellular aging strategy

Overview of attention for article published in BMC Biology, August 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

twitter
11 tweeters

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
55 Mendeley
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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.

Twitter Demographics

The data shown below were collected from the profiles of 11 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Israel 1 2%
Unknown 54 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 25%
Researcher 13 24%
Student > Bachelor 5 9%
Student > Master 4 7%
Student > Doctoral Student 3 5%
Other 11 20%
Unknown 5 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 40%
Biochemistry, Genetics and Molecular Biology 13 24%
Physics and Astronomy 4 7%
Mathematics 3 5%
Chemical Engineering 2 4%
Other 3 5%
Unknown 8 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 April 2017.
All research outputs
#1,618,110
of 9,719,571 outputs
Outputs from BMC Biology
#499
of 997 outputs
Outputs of similar age
#35,366
of 193,675 outputs
Outputs of similar age from BMC Biology
#15
of 37 outputs
Altmetric has tracked 9,719,571 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 997 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.8. This one is in the 49th percentile – i.e., 49% 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 193,675 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.