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An effective mesoscopic model of double-stranded DNA

Overview of attention for article published in Journal of Biological Physics, December 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 297)
  • High Attention Score compared to outputs of the same age (97th percentile)

Mentioned by

news
6 news outlets
twitter
1 X user

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
10 Mendeley
citeulike
2 CiteULike
Title
An effective mesoscopic model of double-stranded DNA
Published in
Journal of Biological Physics, December 2013
DOI 10.1007/s10867-013-9333-9
Pubmed ID
Authors

Jae-Hyung Jeon, Wokyung Sung

Abstract

Watson and Crick's epochal presentation of the double helix structure in 1953 has paved the way to intense exploration of DNA's vital functions in cells. Also, recent advances of single molecule techniques have made it possible to probe structures and mechanics of constrained DNA at length scales ranging from nanometers to microns. There have been a number of atomistic scale quantum chemical calculations or molecular level simulations, but they are too computationally demanding or analytically unfeasible to describe the DNA conformation and mechanics at mesoscopic levels. At micron scales, on the other hand, the wormlike chain model has been very instrumental in describing analytically the DNA mechanics but lacks certain molecular details that are essential in describing the hybridization, nano-scale confinement, and local denaturation. To fill this fundamental gap, we present a workable and predictive mesoscopic model of double-stranded DNA where the nucleotides beads constitute the basic degrees of freedom. With the inter-strand stacking given by an interaction between diagonally opposed monomers, the model explains with analytical simplicity the helix formation and produces a generalized wormlike chain model with the concomitant large bending modulus given in terms of the helical structure and stiffness. It also explains how the helical conformation undergoes overstretch transition to the ladder-like conformation at a force plateau, in agreement with the experiment.

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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 30%
Professor > Associate Professor 2 20%
Professor 1 10%
Student > Bachelor 1 10%
Researcher 1 10%
Other 1 10%
Unknown 1 10%
Readers by discipline Count As %
Physics and Astronomy 4 40%
Agricultural and Biological Sciences 1 10%
Biochemistry, Genetics and Molecular Biology 1 10%
Computer Science 1 10%
Medicine and Dentistry 1 10%
Other 0 0%
Unknown 2 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 46. 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 10 December 2013.
All research outputs
#765,904
of 22,733,113 outputs
Outputs from Journal of Biological Physics
#1
of 297 outputs
Outputs of similar age
#8,897
of 306,767 outputs
Outputs of similar age from Journal of Biological Physics
#1
of 2 outputs
Altmetric has tracked 22,733,113 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 297 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done particularly well, scoring higher than 99% 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 306,767 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them