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Stochastic model for tumor control probability: effects of cell cycle and (a)symmetric proliferation

Overview of attention for article published in Theoretical Biology and Medical Modelling, November 2014
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Title
Stochastic model for tumor control probability: effects of cell cycle and (a)symmetric proliferation
Published in
Theoretical Biology and Medical Modelling, November 2014
DOI 10.1186/1742-4682-11-49
Pubmed ID
Authors

Andrew Dhawan, Kamran Kaveh, Mohammad Kohandel, Sivabal Sivaloganathan

Abstract

Estimating the required dose in radiotherapy is of crucial importance since the administrated dose should be sufficient to eradicate the tumor and at the same time should inflict minimal damage on normal cells. The probability that a given dose and schedule of ionizing radiation eradicates all the tumor cells in a given tissue is called the tumor control probability (TCP), and is often used to compare various treatment strategies used in radiation therapy.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 5%
Venezuela, Bolivarian Republic of 1 5%
Unknown 19 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 33%
Student > Master 4 19%
Professor > Associate Professor 2 10%
Professor 2 10%
Researcher 2 10%
Other 2 10%
Unknown 2 10%
Readers by discipline Count As %
Mathematics 4 19%
Engineering 4 19%
Physics and Astronomy 3 14%
Medicine and Dentistry 3 14%
Agricultural and Biological Sciences 2 10%
Other 2 10%
Unknown 3 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 06 February 2015.
All research outputs
#20,257,230
of 22,786,691 outputs
Outputs from Theoretical Biology and Medical Modelling
#246
of 287 outputs
Outputs of similar age
#302,795
of 361,623 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#7
of 7 outputs
Altmetric has tracked 22,786,691 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 361,623 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 7 others from the same source and published within six weeks on either side of this one.