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Visualizing tumor evolution with the fishplot package for R

Overview of attention for article published in BMC Genomics, November 2016
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
19 tweeters
peer_reviews
1 peer review site
q&a
1 Q&A thread

Citations

dimensions_citation
77 Dimensions

Readers on

mendeley
95 Mendeley
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Title
Visualizing tumor evolution with the fishplot package for R
Published in
BMC Genomics, November 2016
DOI 10.1186/s12864-016-3195-z
Pubmed ID
Authors

Christopher A. Miller, Joshua McMichael, Ha X. Dang, Christopher A. Maher, Li Ding, Timothy J. Ley, Elaine R. Mardis, Richard K. Wilson

Abstract

Massively-parallel sequencing at depth is now enabling tumor heterogeneity and evolution to be characterized in unprecedented detail. Tracking these changes in clonal architecture often provides insight into therapeutic response and resistance. In complex cases involving multiple timepoints, standard visualizations, such as scatterplots, can be difficult to interpret. Current data visualization methods are also typically manual and laborious, and often only approximate subclonal fractions. We have developed an R package that accurately and intuitively displays changes in clonal structure over time. It requires simple input data and produces illustrative and easy-to-interpret graphs suitable for diagnosis, presentation, and publication. The simplicity, power, and flexibility of this tool make it valuable for visualizing tumor evolution, and it has potential utility in both research and clinical settings. The fishplot package is available at https://github.com/chrisamiller/fishplot .

Twitter Demographics

The data shown below were collected from the profiles of 19 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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
France 1 1%
Italy 1 1%
Unknown 92 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 29%
Student > Ph. D. Student 19 20%
Student > Master 12 13%
Professor 6 6%
Student > Doctoral Student 4 4%
Other 7 7%
Unknown 19 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 27 28%
Agricultural and Biological Sciences 21 22%
Medicine and Dentistry 12 13%
Computer Science 4 4%
Philosophy 1 1%
Other 6 6%
Unknown 24 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 01 March 2021.
All research outputs
#1,857,967
of 19,176,496 outputs
Outputs from BMC Genomics
#608
of 9,722 outputs
Outputs of similar age
#42,351
of 304,992 outputs
Outputs of similar age from BMC Genomics
#53
of 877 outputs
Altmetric has tracked 19,176,496 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,722 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 93% 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 304,992 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 86% of its contemporaries.
We're also able to compare this research output to 877 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 93% of its contemporaries.