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Two classes of nucleic acid translocation motors: rotation and revolution without rotation

Overview of attention for article published in Cell & Bioscience, September 2014
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Title
Two classes of nucleic acid translocation motors: rotation and revolution without rotation
Published in
Cell & Bioscience, September 2014
DOI 10.1186/2045-3701-4-54
Pubmed ID
Authors

Peixuan Guo, Ian Grainge, Zhengyi Zhao, Mario Vieweger

Abstract

Biomotors are extensively involved in biological processes including cell mitosis, bacterial binary fission, DNA replication, DNA repair, homologous recombination, Holliday junction resolution, RNA transcription, and viral genome packaging. Traditionally, they were classified into two categories including linear and rotation motors. In 2013, a third class of motor by revolution mechanism without rotation was discovered. In this issue of "Structure and mechanisms of nanomotors in the cells", four comprehensive reviews are published to address the latest advancements of the structure and motion mechanism of a variety of biomotors in archaea, animal viruses, bacteria, and bacteriophages.

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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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 38%
Researcher 4 19%
Other 2 10%
Student > Doctoral Student 2 10%
Professor 1 5%
Other 2 10%
Unknown 2 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 52%
Biochemistry, Genetics and Molecular Biology 4 19%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Medicine and Dentistry 1 5%
Chemistry 1 5%
Other 1 5%
Unknown 2 10%
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 03 October 2014.
All research outputs
#22,760,732
of 25,374,917 outputs
Outputs from Cell & Bioscience
#956
of 1,177 outputs
Outputs of similar age
#210,440
of 246,372 outputs
Outputs of similar age from Cell & Bioscience
#7
of 9 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,177 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 1st percentile – i.e., 1% 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 246,372 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.