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Development and validation of automatic tools for interactive recurrence analysis in radiation therapy: optimization of treatment algorithms for locally advanced pancreatic cancer

Overview of attention for article published in Radiation Oncology, June 2013
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Citations

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24 Mendeley
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Title
Development and validation of automatic tools for interactive recurrence analysis in radiation therapy: optimization of treatment algorithms for locally advanced pancreatic cancer
Published in
Radiation Oncology, June 2013
DOI 10.1186/1748-717x-8-138
Pubmed ID
Authors

Kerstin A Kessel, Daniel Habermehl, Andreas Jäger, Ralf O Floca, Lanlan Zhang, Rolf Bendl, Jürgen Debus, Stephanie E Combs

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 17%
Student > Ph. D. Student 3 13%
Student > Master 3 13%
Researcher 2 8%
Professor 2 8%
Other 4 17%
Unknown 6 25%
Readers by discipline Count As %
Medicine and Dentistry 7 29%
Physics and Astronomy 3 13%
Computer Science 2 8%
Biochemistry, Genetics and Molecular Biology 2 8%
Agricultural and Biological Sciences 1 4%
Other 4 17%
Unknown 5 21%