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Recombinational branch migration by the RadA/Sms paralog of RecA in Escherichia coli

Overview of attention for article published in eLife, February 2016
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58 Mendeley
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Article details
Title
Recombinational branch migration by the RadA/Sms paralog of RecA in Escherichia coli
Published in
eLife, February 2016
DOI 10.7554/elife.10807
Pubmed ID
Authors
Abstract

RadA (also known as 'Sms') is a highly conserved protein, found in almost all eubacteria and plants, with sequence similarity to the RecA strand exchange protein and a role in homologous recombination. We investigate here the biochemical properties of the E. coli RadA protein and several mutant forms. RadA is a DNA-dependent ATPase, a DNA binding protein and can stimulate the branch migration phase of RecA-mediated strand transfer reactions. RadA cannot mediate synaptic pairing between homologous DNA molecules but can drive branch migration to extend the region of heteroduplex DNA, even without RecA. Unlike other branch migration factors RecG and RuvAB, RadA stimulates branch migration within the context of the RecA filament, in the direction of RecA-mediated strand exchange. We propose that RadA-mediated branch migration aids recombination by allowing the 3' invading strand to be incorporated into heteroduplex DNA and to be extended by DNA polymerases.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 15 26%
Researcher 8 14%
Student > Master 5 9%
Professor > Associate Professor 4 7%
Student > Bachelor 3 5%
Other 6 10%
Unknown 17 29%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 16 28%
Biochemistry, Genetics and Molecular Biology 11 19%
Medicine and Dentistry 5 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Business, Management and Accounting 1 2%
Other 4 7%
Unknown 20 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 February 2016.
All research outputs
#15,356,841
of 22,844,985 outputs
Outputs from eLife
#12,556
of 13,841 outputs
Outputs of similar age
#233,632
of 397,006 outputs
Outputs of similar age from eLife
#281
of 343 outputs
Altmetric has tracked 22,844,985 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,841 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.0. This one is in the 6th percentile – i.e., 6% 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 397,006 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 343 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.