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Deep morphology learning enhances ex vivo drug profiling-based precision medicine

Overview of attention for article published in Blood Cancer Discovery, September 2022
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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 (#13 of 151)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
10 news outlets
twitter
29 tweeters
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Title
Deep morphology learning enhances ex vivo drug profiling-based precision medicine
Published in
Blood Cancer Discovery, September 2022
DOI 10.1158/2643-3230.bcd-21-0219
Pubmed ID
Authors

Tim Heinemann, Christoph Kornauth, Yannik Severin, Gregory I. Vladimer, Tea Pemovska, Emir Hadzijusufovic, Hermine Agis, Maria-Theresa Krauth, Wolfgang R. Sperr, Peter Valent, Ulrich Jager, Ingrid Simonitsch-Klupp, Giulio Superti-Furga, Philipp B. Staber, Berend Snijder

Twitter Demographics

The data shown below were collected from the profiles of 29 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Attention Score in Context

This research output has an Altmetric Attention Score of 79. 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 27 September 2022.
All research outputs
#433,859
of 22,139,693 outputs
Outputs from Blood Cancer Discovery
#13
of 151 outputs
Outputs of similar age
#5,473
of 194,366 outputs
Outputs of similar age from Blood Cancer Discovery
#1
of 9 outputs
Altmetric has tracked 22,139,693 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 151 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.1. This one has done particularly well, scoring higher than 91% 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 194,366 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 97% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them