Title |
Comprehensive Genomic and Transcriptomic Analysis for Guiding Therapeutic Decisions in Patients with Rare CancersGenomic Profiling of Rare Cancers
|
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Published in |
Cancer Discovery, June 2021
|
DOI | 10.1158/2159-8290.cd-21-0126 |
Pubmed ID | |
Authors |
Peter Horak, Christoph Heining, Simon Kreutzfeldt, Barbara Hutter, Andreas Mock, Jennifer Hüllein, Martina Fröhlich, Sebastian Uhrig, Arne Jahn, Andreas Rump, Laura Gieldon, Lino Möhrmann, Dorothea Hanf, Veronica Teleanu, Christoph E. Heilig, Daniel B. Lipka, Michael Allgäuer, Leo Ruhnke, Andreas Laßmann, Volker Endris, Olaf Neumann, Roland Penzel, Katja Beck, Daniela Richter, Ulrike Winter, Stephan Wolf, Katrin Pfütze, Christina Geörg, Bettina Meißburger, Ivo Buchhalter, Marinela Augustin, Walter E. Aulitzky, Peter Hohenberger, Matthias Kroiss, Peter Schirmacher, Richard F. Schlenk, Ulrich Keilholz, Frederick Klauschen, Gunnar Folprecht, Sebastian Bauer, Jens Thomas Siveke, Christian H. Brandts, Thomas Kindler, Melanie Boerries, Anna L. Illert, Nikolas von Bubnoff, Philipp J. Jost, Karsten Spiekermann, Michael Bitzer, Klaus Schulze-Osthoff, Christof von Kalle, Barbara Klink, Benedikt Brors, Albrecht Stenzinger, Evelin Schröck, Daniel Hübschmann, Wilko Weichert, Hanno Glimm, Stefan Fröhling |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 34 | 22% |
United States | 25 | 16% |
Italy | 6 | 4% |
Belgium | 5 | 3% |
Canada | 4 | 3% |
France | 4 | 3% |
United Kingdom | 4 | 3% |
Spain | 3 | 2% |
Poland | 3 | 2% |
Other | 16 | 10% |
Unknown | 52 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 74 | 47% |
Scientists | 63 | 40% |
Practitioners (doctors, other healthcare professionals) | 14 | 9% |
Science communicators (journalists, bloggers, editors) | 5 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 113 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 23 | 20% |
Student > Ph. D. Student | 16 | 14% |
Student > Master | 12 | 11% |
Other | 7 | 6% |
Student > Postgraduate | 5 | 4% |
Other | 11 | 10% |
Unknown | 39 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 25 | 22% |
Biochemistry, Genetics and Molecular Biology | 23 | 20% |
Agricultural and Biological Sciences | 6 | 5% |
Engineering | 3 | 3% |
Computer Science | 2 | 2% |
Other | 7 | 6% |
Unknown | 47 | 42% |