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A Thermodynamic Model of Microtubule Assembly and Disassembly

Overview of attention for article published in PLOS ONE, August 2009
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Article details
Title
A Thermodynamic Model of Microtubule Assembly and Disassembly
Published in
PLOS ONE, August 2009
DOI 10.1371/journal.pone.0006378
Pubmed ID
Authors
Abstract

Microtubules are self-assembling polymers whose dynamics are essential for the normal function of cellular processes including chromosome separation and cytokinesis. Therefore understanding what factors effect microtubule growth is fundamental to our understanding of the control of microtubule based processes. An important factor that determines the status of a microtubule, whether it is growing or shrinking, is the length of the GTP tubulin microtubule cap. Here, we derive a Monte Carlo model of the assembly and disassembly of microtubules. We use thermodynamic laws to reduce the number of parameters of our model and, in particular, we take into account the contribution of water to the entropy of the system. We fit all parameters of the model from published experimental data using the GTP tubulin dimer attachment rate and the lateral and longitudinal binding energies of GTP and GDP tubulin dimers at both ends. Also we calculate and incorporate the GTP hydrolysis rate. We have applied our model and can mimic published experimental data, which formerly suggested a single layer GTP tubulin dimer microtubule cap, to show that these data demonstrate that the GTP cap can fluctuate and can be several microns long.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 57 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 4%
United Kingdom 2 4%
Germany 2 4%
France 1 2%
Unknown 50 88%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 14 25%
Researcher 11 19%
Professor > Associate Professor 8 14%
Student > Master 5 9%
Professor 4 7%
Other 8 14%
Unknown 7 12%
Readers by discipline
Readers by discipline Count As %
Physics and Astronomy 15 26%
Agricultural and Biological Sciences 14 25%
Biochemistry, Genetics and Molecular Biology 8 14%
Chemistry 4 7%
Mathematics 3 5%
Other 5 9%
Unknown 8 14%
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 24 August 2009.
All research outputs
#24,753,303
of 34,359,530 outputs
Outputs from PLOS ONE
#157,355
of 224,516 outputs
Outputs of similar age
#155,321
of 174,876 outputs
Outputs of similar age from PLOS ONE
#589
of 662 outputs
Altmetric has tracked 34,359,530 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 224,516 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.2. This one is in the 21st percentile – i.e., 21% 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 174,876 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 662 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.