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CFAssay: statistical analysis of the colony formation assay

Overview of attention for article published in Radiation Oncology, November 2015
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Title
CFAssay: statistical analysis of the colony formation assay
Published in
Radiation Oncology, November 2015
DOI 10.1186/s13014-015-0529-y
Pubmed ID
Authors

Herbert Braselmann, Agata Michna, Julia Heß, Kristian Unger

Abstract

Colony formation assay is the gold standard to determine cell reproductive death after treatment with ionizing radiation, applied for different cell lines or in combination with other treatment modalities. Associated linear-quadratic cell survival curves can be calculated with different methods. For easy code exchange and methodological standardisation among collaborating laboratories a software package CFAssay for R (R Core Team, R: A Language and Environment for Statistical Computing, 2014) was established to perform thorough statistical analysis of linear-quadratic cell survival curves after treatment with ionizing radiation and of two-way designs of experiments with chemical treatments only. CFAssay offers maximum likelihood and related methods by default and the least squares or weighted least squares method can be optionally chosen. A test for comparision of cell survival curves and an ANOVA test for experimental two-way designs are provided. For the two presented examples estimated parameters do not differ much between maximum-likelihood and least squares. However the dispersion parameter of the quasi-likelihood method is much more sensitive for statistical variation in the data than the multiple R (2) coefficient of determination from the least squares method. The dispersion parameter for goodness of fit and different plot functions in CFAssay help to evaluate experimental data quality. As open source software interlaboratory code sharing between users is facilitated. The package is available at http://www.bioconductor.org/packages/release/bioc/html/CFAssay.html .

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 97 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 19%
Student > Bachelor 13 13%
Researcher 8 8%
Student > Master 8 8%
Student > Doctoral Student 6 6%
Other 14 14%
Unknown 30 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 25%
Medicine and Dentistry 15 15%
Agricultural and Biological Sciences 6 6%
Engineering 5 5%
Physics and Astronomy 4 4%
Other 13 13%
Unknown 30 31%
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 04 November 2015.
All research outputs
#20,295,501
of 22,832,057 outputs
Outputs from Radiation Oncology
#1,678
of 2,057 outputs
Outputs of similar age
#239,103
of 285,322 outputs
Outputs of similar age from Radiation Oncology
#40
of 56 outputs
Altmetric has tracked 22,832,057 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.
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We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.