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Do clones degenerate over time? Explaining the genetic variability of asexuals through population genetic models

Overview of attention for article published in Biology Direct, March 2011
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)

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51 Mendeley
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Title
Do clones degenerate over time? Explaining the genetic variability of asexuals through population genetic models
Published in
Biology Direct, March 2011
DOI 10.1186/1745-6150-6-17
Pubmed ID
Authors

Karel Janko, Pavel Drozd, Jan Eisner

Abstract

Quest for understanding the nature of mechanisms governing the life span of clonal organisms lasts for several decades. Phylogenetic evidence for recent origins of most clones is usually interpreted as proof that clones suffer from gradual age-dependent fitness decay (e.g. Muller's ratchet). However, we have shown that a neutral drift can also qualitatively explain the observed distribution of clonal ages. This finding was followed by several attempts to distinguish the effects of neutral and non-neutral processes. Most recently, Neiman et al. 2009 (Ann N Y Acad Sci.:1168:185-200.) reviewed the distribution of asexual lineage ages estimated from a diverse array of taxa and concluded that neutral processes alone may not explain the observed data. Moreover, the authors inferred that similar types of mechanisms determine maximum asexual lineage ages in all asexual taxa. In this paper we review recent methods for distinguishing the effects of neutral and non-neutral processes and point at methodological problems related with them.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

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 %
Spain 1 2%
India 1 2%
Canada 1 2%
Brazil 1 2%
Unknown 47 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 24%
Researcher 9 18%
Student > Bachelor 7 14%
Student > Master 6 12%
Professor 6 12%
Other 9 18%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 73%
Environmental Science 4 8%
Biochemistry, Genetics and Molecular Biology 3 6%
Unspecified 1 2%
Computer Science 1 2%
Other 2 4%
Unknown 3 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 13 February 2024.
All research outputs
#7,959,659
of 25,371,288 outputs
Outputs from Biology Direct
#254
of 537 outputs
Outputs of similar age
#41,344
of 119,820 outputs
Outputs of similar age from Biology Direct
#6
of 6 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 537 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 51% 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 119,820 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.