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MutSα's Multi-Domain Allosteric Response to Three DNA Damage Types Revealed by Machine Learning

Overview of attention for article published in Frontiers in Physics, March 2017
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Mentioned by

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3 X users

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mendeley
16 Mendeley
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Title
MutSα's Multi-Domain Allosteric Response to Three DNA Damage Types Revealed by Machine Learning
Published in
Frontiers in Physics, March 2017
DOI 10.3389/fphy.2017.00010
Pubmed ID
Authors

Ryan L. Melvin, William G. Thompson, Ryan C. Godwin, William H. Gmeiner, Freddie R. Salsbury

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 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 %
Student > Ph. D. Student 4 25%
Student > Master 2 13%
Researcher 2 13%
Other 1 6%
Professor 1 6%
Other 3 19%
Unknown 3 19%
Readers by discipline Count As %
Physics and Astronomy 5 31%
Chemistry 2 13%
Medicine and Dentistry 2 13%
Agricultural and Biological Sciences 1 6%
Unspecified 1 6%
Other 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 31 May 2017.
All research outputs
#17,883,247
of 22,959,818 outputs
Outputs from Frontiers in Physics
#866
of 3,513 outputs
Outputs of similar age
#220,578
of 308,948 outputs
Outputs of similar age from Frontiers in Physics
#8
of 10 outputs
Altmetric has tracked 22,959,818 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,513 research outputs from this source. They receive a mean Attention Score of 2.6. This one has gotten more attention than average, scoring higher than 71% 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 308,948 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 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.