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DNA Computing

Overview of attention for book
Cover of 'DNA Computing'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Engineered communications for microbial robotics
  3. Altmetric Badge
    Chapter 2 Successive state transitions with I/O interface by molecules
  4. Altmetric Badge
    Chapter 3 Solution of a satisfiability problem on a gel-based DNA computer
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    Chapter 4 Diophantine equations and splicing: A new demonstration of the generative capability of H systems
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    Chapter 5 About time-varying distributed H systems
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    Chapter 6 String tile models for DNA computing by self-assembly
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    Chapter 7 From molecular computing to molecular programming
  9. Altmetric Badge
    Chapter 8 Graph replacement chemistry for DNA processing
  10. Altmetric Badge
    Chapter 9 DNA and circular splicing?
  11. Altmetric Badge
    Chapter 10 Molecular computing with generalized homogeneous P-systems
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    Chapter 11 Computationally inspired biotechnologies: Improved DNA synthesis and associative search using Error-Correcting Codes and Vector-Quantization?
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    Chapter 12 Challenges and applications for self-assembled DNA nanostructures?
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    Chapter 13 A space-efficient randomized DNA algorithm for k -SAT
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    Chapter 14 A DNA-based random walk method for solving k -SAT
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    Chapter 15 Solving computational learning problems of Boolean formulae on DNA computers
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    Chapter 16 The fidelity of annealing-ligation: A theoretical analysis
  18. Altmetric Badge
    Chapter 17 DNA implementation of a Royal Road fitness evaluation
  19. Altmetric Badge
    Chapter 18 Steady flow micro-reactor module for pipelined DNA computations
Attention for Chapter 3: Solution of a satisfiability problem on a gel-based DNA computer
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Mentioned by

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2 Wikipedia pages

Citations

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15 Dimensions

Readers on

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31 Mendeley
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Chapter title
Solution of a satisfiability problem on a gel-based DNA computer
Chapter number 3
Book title
DNA Computing
Published in
Lecture notes in computer science, June 2000
DOI 10.1007/3-540-44992-2_3
Book ISBNs
978-3-54-042076-7, 978-3-54-044992-8
Authors

Ravinderjit S. Braich, Cliff Johnson, Paul W. K. Rothemund, Darryl Hwang, Nickolas Chelyapov, Leonard M. Adleman, Braich, Ravinderjit S., Johnson, Cliff, Rothemund, Paul W. K., Hwang, Darryl, Chelyapov, Nickolas, Adleman, Leonard M.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russia 2 6%
India 1 3%
Australia 1 3%
Czechia 1 3%
United States 1 3%
Unknown 25 81%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 32%
Student > Bachelor 7 23%
Professor 4 13%
Student > Doctoral Student 2 6%
Student > Master 2 6%
Other 2 6%
Unknown 4 13%
Readers by discipline Count As %
Computer Science 8 26%
Chemistry 5 16%
Agricultural and Biological Sciences 4 13%
Physics and Astronomy 4 13%
Engineering 2 6%
Other 4 13%
Unknown 4 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 December 2020.
All research outputs
#7,453,479
of 22,786,691 outputs
Outputs from Lecture notes in computer science
#2,486
of 8,125 outputs
Outputs of similar age
#12,546
of 39,378 outputs
Outputs of similar age from Lecture notes in computer science
#3
of 15 outputs
Altmetric has tracked 22,786,691 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,125 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 55% 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 39,378 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.