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Coarse-grained modeling of DNA curvature

Overview of attention for article published in Journal of Chemical Physics, October 2014
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3 X users

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124 Mendeley
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Article details
Title
Coarse-grained modeling of DNA curvature
Published in
Journal of Chemical Physics, October 2014
DOI 10.1063/1.4897649
Pubmed ID
Authors
Abstract

The interaction of DNA with proteins occurs over a wide range of length scales, and depends critically on its local structure. In particular, recent experimental work suggests that the intrinsic curvature of DNA plays a significant role on its protein-binding properties. In this work, we present a coarse grained model of DNA that is capable of describing base-pairing, hybridization, major and minor groove widths, and local curvature. The model represents an extension of the recently proposed 3SPN.2 description of DNA [D. M. Hinckley, G. S. Freeman, J. K. Whitmer, and J. J. de Pablo, J. Chem. Phys. 139, 144903 (2013)], into which sequence-dependent shape and mechanical properties are incorporated. The proposed model is validated against experimental data including melting temperatures, local flexibilities, dsDNA persistence lengths, and minor groove width profiles.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 2%
United Kingdom 1 <1%
Unknown 121 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 43 35%
Researcher 25 20%
Student > Bachelor 9 7%
Student > Master 9 7%
Student > Doctoral Student 7 6%
Other 13 10%
Unknown 18 15%
Readers by discipline
Readers by discipline Count As %
Physics and Astronomy 20 16%
Chemistry 20 16%
Biochemistry, Genetics and Molecular Biology 17 14%
Engineering 17 14%
Agricultural and Biological Sciences 12 10%
Other 14 11%
Unknown 24 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 October 2014.
All research outputs
#24,235,216
of 34,528,520 outputs
Outputs from Journal of Chemical Physics
#13,618
of 24,336 outputs
Outputs of similar age
#201,248
of 307,513 outputs
Outputs of similar age from Journal of Chemical Physics
#109
of 326 outputs
Altmetric has tracked 34,528,520 research outputs across all sources so far. This one is in the 28th percentile – i.e., 28% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,336 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 41st percentile – i.e., 41% 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 307,513 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 326 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.