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Deciphering intratumor heterogeneity and temporal acquisition of driver events to refine precision medicine

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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
31 X users
googleplus
1 Google+ user

Citations

dimensions_citation
186 Dimensions

Readers on

mendeley
312 Mendeley
citeulike
4 CiteULike
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Title
Deciphering intratumor heterogeneity and temporal acquisition of driver events to refine precision medicine
Published in
Genome Biology, August 2014
DOI 10.1186/s13059-014-0453-8
Pubmed ID
Authors

Crispin Hiley, Elza C de Bruin, Nicholas McGranahan, Charles Swanton

Abstract

The presence of multiple subclones within tumors mandates understanding of longitudinal and spatial subclonal dynamics. Resolving the spatial and temporal heterogeneity of subclones with cancer driver events may offer insight into therapy response, tumor evolutionary histories and clinical trial design.

X Demographics

X Demographics

The data shown below were collected from the profiles of 31 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 312 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
Germany 2 <1%
France 2 <1%
Korea, Republic of 2 <1%
United Kingdom 2 <1%
Italy 1 <1%
Sweden 1 <1%
Norway 1 <1%
Finland 1 <1%
Other 2 <1%
Unknown 293 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 79 25%
Student > Ph. D. Student 58 19%
Student > Master 36 12%
Student > Bachelor 28 9%
Other 26 8%
Other 44 14%
Unknown 41 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 102 33%
Medicine and Dentistry 60 19%
Biochemistry, Genetics and Molecular Biology 59 19%
Computer Science 10 3%
Pharmacology, Toxicology and Pharmaceutical Science 4 1%
Other 31 10%
Unknown 46 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 20 October 2019.
All research outputs
#2,138,029
of 25,371,288 outputs
Outputs from Genome Biology
#1,794
of 4,467 outputs
Outputs of similar age
#21,655
of 247,197 outputs
Outputs of similar age from Genome Biology
#20
of 100 outputs
Altmetric has tracked 25,371,288 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 59% 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 247,197 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 91% 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 80% of its contemporaries.