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Random walk of passive tracers among randomly moving obstacles

Overview of attention for article published in Theoretical Biology and Medical Modelling, April 2016
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Title
Random walk of passive tracers among randomly moving obstacles
Published in
Theoretical Biology and Medical Modelling, April 2016
DOI 10.1186/s12976-016-0038-1
Pubmed ID
Authors

Matteo Gori, Irene Donato, Elena Floriani, Ilaria Nardecchia, Marco Pettini

Abstract

This study is mainly motivated by the need of understanding how the diffusion behavior of a biomolecule (or even of a larger object) is affected by other moving macromolecules, organelles, and so on, inside a living cell, whence the possibility of understanding whether or not a randomly walking biomolecule is also subject to a long-range force field driving it to its target. By means of the Continuous Time Random Walk (CTRW) technique the topic of random walk in random environment is here considered in the case of a passively diffusing particle among randomly moving and interacting obstacles. The relevant physical quantity which is worked out is the diffusion coefficient of the passive tracer which is computed as a function of the average inter-obstacles distance. The results reported here suggest that if a biomolecule, let us call it a test molecule, moves towards its target in the presence of other independently interacting molecules, its motion can be considerably slowed down.

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

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 41%
Researcher 4 24%
Student > Ph. D. Student 3 18%
Student > Bachelor 1 6%
Professor > Associate Professor 1 6%
Other 0 0%
Unknown 1 6%
Readers by discipline Count As %
Physics and Astronomy 9 53%
Engineering 2 12%
Agricultural and Biological Sciences 1 6%
Neuroscience 1 6%
Medicine and Dentistry 1 6%
Other 2 12%
Unknown 1 6%
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 02 July 2018.
All research outputs
#20,485,225
of 23,047,237 outputs
Outputs from Theoretical Biology and Medical Modelling
#246
of 287 outputs
Outputs of similar age
#255,387
of 301,184 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#5
of 5 outputs
Altmetric has tracked 23,047,237 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 287 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 1st percentile – i.e., 1% 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 301,184 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.