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Timing somatic events in the evolution of cancer

Overview of attention for article published in Genome Biology, July 2018
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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 (92nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
13 X users

Citations

dimensions_citation
69 Dimensions

Readers on

mendeley
241 Mendeley
citeulike
1 CiteULike
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Title
Timing somatic events in the evolution of cancer
Published in
Genome Biology, July 2018
DOI 10.1186/s13059-018-1476-3
Pubmed ID
Authors

Clemency Jolly, Peter Van Loo

Abstract

Cancer arises through the accumulation of somatic mutations over time. An understanding of the sequence of events during this process should allow both earlier diagnosis and better prediction of cancer progression. However, the pathways of tumor evolution have not yet been comprehensively characterized. With the advent of whole genome sequencing, it is now possible to infer the evolutionary history of single tumors from the snapshot of their genome taken at diagnosis, giving new insights into the biology of tumorigenesis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 241 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 241 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 56 23%
Researcher 50 21%
Student > Master 25 10%
Student > Doctoral Student 18 7%
Student > Bachelor 15 6%
Other 29 12%
Unknown 48 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 91 38%
Agricultural and Biological Sciences 39 16%
Medicine and Dentistry 28 12%
Computer Science 8 3%
Mathematics 5 2%
Other 19 8%
Unknown 51 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 18 October 2018.
All research outputs
#1,250,654
of 25,405,598 outputs
Outputs from Genome Biology
#946
of 4,471 outputs
Outputs of similar age
#26,185
of 340,777 outputs
Outputs of similar age from Genome Biology
#20
of 51 outputs
Altmetric has tracked 25,405,598 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 4,471 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 78% 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 340,777 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 92% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.