Title |
Functional Precision Medicine Provides Clinical Benefit in Advanced Aggressive Hematologic Cancers and Identifies Exceptional Responders
|
---|---|
Published in |
Cancer Discovery, October 2021
|
DOI | 10.1158/2159-8290.cd-21-0538 |
Pubmed ID | |
Authors |
Christoph Kornauth, Tea Pemovska, Gregory I. Vladimer, Günther Bayer, Michael Bergmann, Sandra Eder, Ruth Eichner, Martin Erl, Harald Esterbauer, Ruth Exner, Verena Felsleitner-Hauer, Maurizio Forte, Alexander Gaiger, Klaus Geissler, Hildegard T. Greinix, Wolfgang Gstöttner, Marcus Hacker, Bernd Lorenz Hartmann, Alexander W. Hauswirth, Tim Heinemann, Daniel Heintel, Mir Alireza Hoda, Georg Hopfinger, Ulrich Jaeger, Lukas Kazianka, Lukas Kenner, Barbara Kiesewetter, Nikolaus Krall, Gerhard Krajnik, Stefan Kubicek, Trang Le, Simone Lubowitzki, Marius E. Mayerhoefer, Elisabeth Menschel, Olaf Merkel, Katsuhiro Miura, Leonhard Müllauer, Peter Neumeister, Thomas Noesslinger, Katharina Ocko, Leopold Öhler, Michael Panny, Alexander Pichler, Edit Porpaczy, Gerald W. Prager, Markus Raderer, Robin Ristl, Reinhard Ruckser, Julius Salamon, Ana-Iris Schiefer, Ann-Sofie Schmolke, Ilse Schwarzinger, Edgar Selzer, Christian Sillaber, Cathrin Skrabs, Wolfgang R. Sperr, Ismet Srndic, Renate Thalhammer, Peter Valent, Emiel van der Kouwe, Katrina Vanura, Stefan Vogt, Cora Waldstein, Dominik Wolf, Christoph C. Zielinski, Niklas Zojer, Ingrid Simonitsch-Klupp, Giulio Superti-Furga, Berend Snijder, Philipp B. Staber |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 27 | 27% |
Austria | 14 | 14% |
Switzerland | 3 | 3% |
Germany | 3 | 3% |
United Kingdom | 3 | 3% |
France | 2 | 2% |
Italy | 2 | 2% |
Turkey | 1 | 1% |
India | 1 | 1% |
Other | 4 | 4% |
Unknown | 40 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 53 | 53% |
Scientists | 36 | 36% |
Science communicators (journalists, bloggers, editors) | 8 | 8% |
Practitioners (doctors, other healthcare professionals) | 3 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 123 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 21 | 17% |
Student > Ph. D. Student | 13 | 11% |
Student > Master | 11 | 9% |
Student > Bachelor | 10 | 8% |
Other | 9 | 7% |
Other | 18 | 15% |
Unknown | 41 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 35 | 28% |
Agricultural and Biological Sciences | 13 | 11% |
Medicine and Dentistry | 12 | 10% |
Engineering | 7 | 6% |
Business, Management and Accounting | 2 | 2% |
Other | 9 | 7% |
Unknown | 45 | 37% |