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American Association for Cancer Research

Functional Precision Medicine Provides Clinical Benefit in Advanced Aggressive Hematologic 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
  • Among the highest-scoring outputs from this source (#34 of 4,153)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
36 news outlets
blogs
2 blogs
twitter
100 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
87 Dimensions

Readers on

mendeley
123 Mendeley
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

X Demographics

The data shown below were collected from the profiles of 100 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

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%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 339. 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 14 April 2024.
All research outputs
#98,814
of 25,734,859 outputs
Outputs from Cancer Discovery
#34
of 4,153 outputs
Outputs of similar age
#2,714
of 440,415 outputs
Outputs of similar age from Cancer Discovery
#3
of 51 outputs
Altmetric has tracked 25,734,859 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 4,153 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.3. This one has done particularly well, scoring higher than 99% 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 440,415 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 99% of its contemporaries.
We're also able to compare this research output to 51 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 94% of its contemporaries.