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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

patent
10 patents
wikipedia
4 Wikipedia pages

Readers on

mendeley
100 Mendeley
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Article details
Title
Role of yeast SIR genes and mating type in directing DNA double-strand breaks to homologous and non-homologous repair paths
Published in
Current Biology, July 1999
DOI 10.1016/s0960-9822(99)80339-x
Pubmed ID
Authors
Abstract

Eukaryotes have acquired many mechanisms to repair DNA double-strand breaks (DSBs) [1]. In the yeast Saccharomyces cerevisiae, this damage can be repaired either by homologous recombination, which depends on the Rad52 protein, or by non-homologous end-joining (NHEJ), which depends on the proteins yKu70 and yKu80 [2] [3]. How do cells choose which repair pathway to use? Deletions of the SIR2, SIR3 and SIR4 genes - which are involved in transcriptional silencing at telomeres and HM mating-type loci (HMLalpha and HMRa) in yeast [4] - have been reported to reduce NHEJ as severely as deletions of genes encoding Ku proteins [5]. Here, we report that the effect of deleting SIR genes is largely attributable to derepression of silent mating-type genes, although Sir proteins do play a minor role in end-joining. When DSBs were made on chromosomes in haploid cells that retain their mating type, sir Delta mutants reduced the frequency of NHEJ by twofold or threefold, although plasmid end-joining was not affected. In diploid cells, sir mutants showed a twofold reduction in the frequency of NHEJ in two assays. Mating type also regulated the efficiency of DSB-induced homologous recombination. In MATa/MATalpha diploid cells, a DSB induced by HO endonuclease was repaired 98% of the time by gene conversion with the homologous chromosome, whereas in diploid cells with an alpha mating type (matDelta/MATalpha) repair succeeded only 82% of the time. Mating-type regulation of genes specific to haploid or diploid cells plays a key role in determining which pathways are used to repair DSBs.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 6 6%
Canada 1 1%
Unknown 93 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 30 30%
Researcher 24 24%
Student > Bachelor 6 6%
Professor 6 6%
Professor > Associate Professor 6 6%
Other 13 13%
Unknown 15 15%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 48 48%
Biochemistry, Genetics and Molecular Biology 29 29%
Immunology and Microbiology 2 2%
Chemical Engineering 1 1%
Environmental Science 1 1%
Other 2 2%
Unknown 17 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 14 December 2021.
All research outputs
#3,168,403
of 27,776,330 outputs
Outputs from Current Biology
#6,052
of 15,293 outputs
Outputs of similar age
#2,448
of 39,362 outputs
Outputs of similar age from Current Biology
#4
of 46 outputs
Altmetric has tracked 27,776,330 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,293 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 64.5. This one has gotten more attention than average, scoring higher than 59% 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 39,362 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 92% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.