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“Gate-keeper” Residues and Active-Site Rearrangements in DNA Polymerase μ Help Discriminate Non-cognate Nucleotides

Overview of attention for article published in PLoS Computational Biology, May 2013
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1 X user

Citations

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9 Dimensions

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16 Mendeley
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Title
“Gate-keeper” Residues and Active-Site Rearrangements in DNA Polymerase μ Help Discriminate Non-cognate Nucleotides
Published in
PLoS Computational Biology, May 2013
DOI 10.1371/journal.pcbi.1003074
Pubmed ID
Authors

Yunlang Li, Tamar Schlick

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 31%
Student > Ph. D. Student 3 19%
Other 2 13%
Student > Doctoral Student 2 13%
Student > Bachelor 1 6%
Other 2 13%
Unknown 1 6%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 50%
Agricultural and Biological Sciences 3 19%
Chemistry 2 13%
Unknown 3 19%
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 23 May 2013.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from PLoS Computational Biology
#8,567
of 8,960 outputs
Outputs of similar age
#182,947
of 208,164 outputs
Outputs of similar age from PLoS Computational Biology
#90
of 92 outputs
Altmetric has tracked 25,374,647 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 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. 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 208,164 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 92 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.