↓ Skip to main content

A quantum mechanical model of adaptive mutation

Overview of attention for article published in Biosystems, June 1999
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)

Mentioned by

twitter
7 X users
facebook
2 Facebook pages
wikipedia
3 Wikipedia pages
reddit
3 Redditors
q&a
1 Q&A thread

Readers on

mendeley
137 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
A quantum mechanical model of adaptive mutation
Published in
Biosystems, June 1999
DOI 10.1016/s0303-2647(99)00004-0
Pubmed ID
Authors
Abstract

The principle that mutations occur randomly with respect to the direction of evolutionary change has been challenged by the phenomenon of adaptive mutations. There is currently no entirely satisfactory theory to account for how a cell can selectively mutate certain genes in response to environmental signals. However, spontaneous mutations are initiated by quantum events such as the shift of a single proton (hydrogen atom) from one site to an adjacent one. We consider here the wave function describing the quantum state of the genome as being in a coherent linear superposition of states describing both the shifted and unshifted protons. Quantum coherence will be destroyed by the process of decoherence in which the quantum state of the genome becomes correlated (entangled) with its surroundings. Using a very simple model we estimate the decoherence times for protons within DNA and demonstrate that quantum coherence may be maintained for biological time-scales. Interaction of the coherent genome wave function with environments containing utilisable substrate will induce rapid decoherence and thereby destroy the superposition of mutant and non-mutant states. We show that this accelerated rate of decoherence may significantly increase the rate of production of the mutated state.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 <1%
Japan 1 <1%
Croatia 1 <1%
Greece 1 <1%
Spain 1 <1%
Chile 1 <1%
Canada 1 <1%
Unknown 130 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 23 17%
Student > Bachelor 18 13%
Student > Ph. D. Student 18 13%
Professor 17 12%
Other 9 7%
Other 27 20%
Unknown 25 18%
Readers by discipline
Readers by discipline Count As %
Physics and Astronomy 27 20%
Agricultural and Biological Sciences 21 15%
Biochemistry, Genetics and Molecular Biology 15 11%
Medicine and Dentistry 11 8%
Chemistry 8 6%
Other 26 19%
Unknown 29 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 15 August 2026.
All research outputs
#4,239,885
of 34,410,252 outputs
Outputs from Biosystems
#102
of 1,345 outputs
Outputs of similar age
#5,621
of 53,008 outputs
Outputs of similar age from Biosystems
#1
of 3 outputs
Altmetric has tracked 34,410,252 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,345 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 92% 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 53,008 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 3 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