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Clonally resolved single-cell multi-omics identifies routes of cellular differentiation in acute myeloid leukemia

Overview of attention for article published in Cell Stem Cell, April 2023
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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 (90th percentile)

Mentioned by

news
11 news outlets
blogs
2 blogs
twitter
146 X users

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
106 Mendeley
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Title
Clonally resolved single-cell multi-omics identifies routes of cellular differentiation in acute myeloid leukemia
Published in
Cell Stem Cell, April 2023
DOI 10.1016/j.stem.2023.04.001
Pubmed ID
Authors

Sergi Beneyto-Calabuig, Anne Kathrin Merbach, Jonas-Alexander Kniffka, Magdalena Antes, Chelsea Szu-Tu, Christian Rohde, Alexander Waclawiczek, Patrick Stelmach, Sarah Gräßle, Philip Pervan, Maike Janssen, Jonathan J M Landry, Vladimir Benes, Anna Jauch, Michaela Brough, Marcus Bauer, Birgit Besenbeck, Julia Felden, Sebastian Bäumer, Michael Hundemer, Tim Sauer, Caroline Pabst, Claudia Wickenhauser, Linus Angenendt, Christoph Schliemann, Andreas Trumpp, Simon Haas, Michael Scherer, Simon Raffel, Carsten Müller-Tidow, Lars Velten

X Demographics

X Demographics

The data shown below were collected from the profiles of 146 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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 106 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 15%
Researcher 12 11%
Student > Bachelor 10 9%
Student > Master 10 9%
Other 4 4%
Other 9 8%
Unknown 45 42%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 28 26%
Medicine and Dentistry 12 11%
Agricultural and Biological Sciences 9 8%
Immunology and Microbiology 5 5%
Chemical Engineering 2 2%
Other 6 6%
Unknown 44 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 163. 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 30 October 2023.
All research outputs
#255,453
of 25,843,331 outputs
Outputs from Cell Stem Cell
#153
of 2,863 outputs
Outputs of similar age
#6,056
of 415,327 outputs
Outputs of similar age from Cell Stem Cell
#5
of 52 outputs
Altmetric has tracked 25,843,331 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 2,863 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 48.6. This one has done particularly well, scoring higher than 94% 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 415,327 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 52 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 90% of its contemporaries.