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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 (88th percentile)

Mentioned by

twitter
39 tweeters

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
114 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 39 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 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 114 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 25%
Researcher 9 8%
Student > Bachelor 9 8%
Student > Master 9 8%
Student > Doctoral Student 8 7%
Other 11 10%
Unknown 39 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 30 26%
Agricultural and Biological Sciences 9 8%
Medicine and Dentistry 9 8%
Computer Science 4 4%
Immunology and Microbiology 4 4%
Other 15 13%
Unknown 43 38%

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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
#1,208,118
of 18,454,256 outputs
Outputs from Genome Biology (Online Edition)
#1,172
of 3,724 outputs
Outputs of similar age
#34,696
of 296,188 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 18,454,256 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,724 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one has gotten more attention than average, scoring higher than 68% 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 296,188 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 88% of its contemporaries.
We're also able to compare this research output to 1 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