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Single-cell lineage analysis reveals genetic and epigenetic interplay in glioblastoma drug resistance

Overview of attention for article published in Genome Biology (Online Edition), July 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
37 tweeters

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
132 Mendeley
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Title
Single-cell lineage analysis reveals genetic and epigenetic interplay in glioblastoma drug resistance
Published in
Genome Biology (Online Edition), July 2020
DOI 10.1186/s13059-020-02085-1
Pubmed ID
Authors

Christine E. Eyler, Hironori Matsunaga, Volker Hovestadt, Samantha J. Vantine, Peter van Galen, Bradley E. Bernstein

Twitter Demographics

The data shown below were collected from the profiles of 37 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 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 132 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 27%
Researcher 12 9%
Student > Bachelor 11 8%
Student > Master 11 8%
Student > Doctoral Student 8 6%
Other 11 8%
Unknown 43 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 36 27%
Medicine and Dentistry 13 10%
Agricultural and Biological Sciences 10 8%
Computer Science 4 3%
Neuroscience 4 3%
Other 19 14%
Unknown 46 35%

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 21 July 2020.
All research outputs
#1,743,518
of 23,756,023 outputs
Outputs from Genome Biology (Online Edition)
#1,528
of 4,234 outputs
Outputs of similar age
#48,463
of 398,888 outputs
Outputs of similar age from Genome Biology (Online Edition)
#50
of 93 outputs
Altmetric has tracked 23,756,023 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,234 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.9. This one has gotten more attention than average, scoring higher than 63% 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 398,888 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 93 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.