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Dissecting intratumour heterogeneity of nodal B-cell lymphomas at the transcriptional, genetic and drug-response levels

Overview of attention for article published in Nature Cell Biology, June 2020
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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 (91st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
54 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
52 Mendeley
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Title
Dissecting intratumour heterogeneity of nodal B-cell lymphomas at the transcriptional, genetic and drug-response levels
Published in
Nature Cell Biology, June 2020
DOI 10.1038/s41556-020-0532-x
Pubmed ID
Authors

Tobias Roider, Julian Seufert, Alexey Uvarovskii, Felix Frauhammer, Marie Bordas, Nima Abedpour, Marta Stolarczyk, Jan-Philipp Mallm, Sophie A. Herbst, Peter-Martin Bruch, Hyatt Balke-Want, Michael Hundemer, Karsten Rippe, Benjamin Goeppert, Martina Seiffert, Benedikt Brors, Gunhild Mechtersheimer, Thorsten Zenz, Martin Peifer, Björn Chapuy, Matthias Schlesner, Carsten Müller-Tidow, Stefan Fröhling, Wolfgang Huber, Simon Anders, Sascha Dietrich

Twitter Demographics

The data shown below were collected from the profiles of 54 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 27%
Student > Ph. D. Student 12 23%
Student > Doctoral Student 5 10%
Student > Master 4 8%
Student > Bachelor 3 6%
Other 6 12%
Unknown 8 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 35%
Agricultural and Biological Sciences 8 15%
Medicine and Dentistry 7 13%
Engineering 2 4%
Computer Science 2 4%
Other 4 8%
Unknown 11 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 33. 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 19 October 2020.
All research outputs
#738,608
of 17,144,747 outputs
Outputs from Nature Cell Biology
#426
of 3,409 outputs
Outputs of similar age
#23,958
of 296,748 outputs
Outputs of similar age from Nature Cell Biology
#22
of 42 outputs
Altmetric has tracked 17,144,747 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,409 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.1. This one has done well, scoring higher than 87% 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 296,748 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 91% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.