↓ Skip to main content

Precision medicine for cancer with next-generation functional diagnostics

Overview of attention for article published in Nature Reviews Cancer, November 2015
Altmetric Badge

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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Citations

dimensions_citation
474 Dimensions

Readers on

mendeley
743 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Precision medicine for cancer with next-generation functional diagnostics
Published in
Nature Reviews Cancer, November 2015
DOI 10.1038/nrc4015
Pubmed ID
Authors

Adam A. Friedman, Anthony Letai, David E. Fisher, Keith T. Flaherty

Abstract

Precision medicine is about matching the right drugs to the right patients. Although this approach is technology agnostic, in cancer there is a tendency to make precision medicine synonymous with genomics. However, genome-based cancer therapeutic matching is limited by incomplete biological understanding of the relationship between phenotype and cancer genotype. This limitation can be addressed by functional testing of live patient tumour cells exposed to potential therapies. Recently, several 'next-generation' functional diagnostic technologies have been reported, including novel methods for tumour manipulation, molecularly precise assays of tumour responses and device-based in situ approaches; these address the limitations of the older generation of chemosensitivity tests. The promise of these new technologies suggests a future diagnostic strategy that integrates functional testing with next-generation sequencing and immunoprofiling to precisely match combination therapies to individual cancer patients.

X Demographics

X Demographics

The data shown below were collected from the profiles of 62 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 743 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 4 <1%
Russia 2 <1%
Canada 2 <1%
France 1 <1%
Italy 1 <1%
Australia 1 <1%
Korea, Republic of 1 <1%
Switzerland 1 <1%
South Africa 1 <1%
Other 6 <1%
Unknown 723 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 158 21%
Student > Ph. D. Student 139 19%
Student > Master 89 12%
Student > Bachelor 63 8%
Other 40 5%
Other 132 18%
Unknown 122 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 150 20%
Agricultural and Biological Sciences 147 20%
Medicine and Dentistry 111 15%
Engineering 55 7%
Computer Science 25 3%
Other 106 14%
Unknown 149 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 62. 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 09 January 2024.
All research outputs
#694,600
of 26,017,215 outputs
Outputs from Nature Reviews Cancer
#211
of 2,496 outputs
Outputs of similar age
#10,490
of 300,345 outputs
Outputs of similar age from Nature Reviews Cancer
#2
of 44 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,496 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.7. This one has done particularly well, scoring higher than 91% 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 300,345 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 96% of its contemporaries.
We're also able to compare this research output to 44 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 95% of its contemporaries.