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Is intracellular pH a clock for mitosis?

Overview of attention for article published in Theoretical Biology and Medical Modelling, February 2013
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1 tweeter

Citations

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23 Dimensions

Readers on

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50 Mendeley
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Title
Is intracellular pH a clock for mitosis?
Published in
Theoretical Biology and Medical Modelling, February 2013
DOI 10.1186/1742-4682-10-8
Pubmed ID
Authors

L John Gagliardi, Daniel H Shain

Abstract

Experiments have shown that the intracellular pH of many cells rises to a maximum at the onset of mitosis, subsequently decreasing 0.3 to 0.5 pH units by the end of mitosis. This result, and observations that tubulin net charge depends strongly on pH, may be critical for microtubule (MT) dynamics during mitosis. In vivo studies demonstrate that MT dynamics is sensitive to pH, with MT growth favored by higher pH values. Therefore it seems likely that the shift from the dominance of microtubule growth during prophase, and to a lesser extent during prometaphase, to a parity between MT polymerization and depolymerization during metaphase chromosome oscillations is a consequence of gradually decreasing intracellular pH during mitosis. Thus the timing and sequencing of prophase, prometaphase, and metaphase chromosome motions may be understood as an increase in the MT disassembly to assembly probability ratio resulting from a continuously declining intracellular pH.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 49 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 24%
Student > Bachelor 9 18%
Student > Master 8 16%
Researcher 8 16%
Student > Postgraduate 2 4%
Other 3 6%
Unknown 8 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 28%
Agricultural and Biological Sciences 12 24%
Engineering 4 8%
Physics and Astronomy 3 6%
Chemistry 3 6%
Other 6 12%
Unknown 8 16%

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 26 February 2013.
All research outputs
#2,018,682
of 3,636,263 outputs
Outputs from Theoretical Biology and Medical Modelling
#63
of 144 outputs
Outputs of similar age
#43,175
of 85,634 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#3
of 9 outputs
Altmetric has tracked 3,636,263 research outputs across all sources so far. This one is in the 26th percentile – i.e., 26% of other outputs scored the same or lower than it.
So far Altmetric has tracked 144 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 43rd percentile – i.e., 43% 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 85,634 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.