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Unraveling the clonal hierarchy of somatic genomic aberrations

Overview of attention for article published in Genome Biology, August 2014
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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 (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

news
1 news outlet
twitter
2 X users
patent
2 patents

Citations

dimensions_citation
88 Dimensions

Readers on

mendeley
152 Mendeley
citeulike
3 CiteULike
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Title
Unraveling the clonal hierarchy of somatic genomic aberrations
Published in
Genome Biology, August 2014
DOI 10.1186/s13059-014-0439-6
Pubmed ID
Authors

Davide Prandi, Sylvan C Baca, Alessandro Romanel, Christopher E Barbieri, Juan-Miguel Mosquera, Jacqueline Fontugne, Himisha Beltran, Andrea Sboner, Levi A Garraway, Mark A Rubin, Francesca Demichelis

Abstract

Defining the chronology of molecular alterations may identify milestones in carcinogenesis. To unravel the temporal evolution of aberrations from clinical tumors, we developed CLONET, which upon estimation of tumor admixture and ploidy infers the clonal hierarchy of genomic aberrations. Comparative analysis across 100 sequenced genomes from prostate, melanoma, and lung cancers established diverse evolutionary hierarchies, demonstrating the early disruption of tumor-specific pathways. The analyses highlight the diversity of clonal evolution within and across tumor types that might be informative for risk stratification and patient selection for targeted therapies. CLONET addresses heterogeneous clinical samples seen in the setting of precision medicine.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
Italy 3 2%
Korea, Republic of 1 <1%
Ireland 1 <1%
Norway 1 <1%
Australia 1 <1%
France 1 <1%
Spain 1 <1%
United Kingdom 1 <1%
Other 0 0%
Unknown 137 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 50 33%
Student > Ph. D. Student 31 20%
Student > Bachelor 12 8%
Other 9 6%
Student > Doctoral Student 8 5%
Other 24 16%
Unknown 18 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 37%
Biochemistry, Genetics and Molecular Biology 32 21%
Medicine and Dentistry 22 14%
Computer Science 12 8%
Mathematics 2 1%
Other 4 3%
Unknown 24 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 15 December 2022.
All research outputs
#2,202,170
of 25,374,647 outputs
Outputs from Genome Biology
#1,831
of 4,467 outputs
Outputs of similar age
#22,357
of 247,215 outputs
Outputs of similar age from Genome Biology
#21
of 100 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 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 gotten more attention than average, scoring higher than 58% 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 247,215 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 90% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.