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Functional Precision Medicine Provides Clinical Benefit in Advanced Aggressive Hematological Cancers and Identifies Exceptional Responders

Overview of attention for article published in Cancer Discovery, October 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
13 news outlets
blogs
1 blog
twitter
87 tweeters
facebook
1 Facebook page

Readers on

mendeley
18 Mendeley
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Title
Functional Precision Medicine Provides Clinical Benefit in Advanced Aggressive Hematological 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

Twitter Demographics

The data shown below were collected from the profiles of 87 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 28%
Student > Ph. D. Student 3 17%
Student > Bachelor 3 17%
Student > Master 1 6%
Professor > Associate Professor 1 6%
Other 0 0%
Unknown 5 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 33%
Agricultural and Biological Sciences 5 28%
Engineering 2 11%
Unknown 5 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 144. 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 16 November 2021.
All research outputs
#186,980
of 19,476,606 outputs
Outputs from Cancer Discovery
#60
of 3,147 outputs
Outputs of similar age
#4,915
of 327,041 outputs
Outputs of similar age from Cancer Discovery
#5
of 100 outputs
Altmetric has tracked 19,476,606 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,147 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.8. This one has done particularly well, scoring higher than 98% of its peers.
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 327,041 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.