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Rational design of cancer gene panels with OncoPaD

Overview of attention for article published in Genome Medicine, October 2016
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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3 news outlets
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26 X users

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62 Mendeley
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Title
Rational design of cancer gene panels with OncoPaD
Published in
Genome Medicine, October 2016
DOI 10.1186/s13073-016-0349-1
Pubmed ID
Authors

Carlota Rubio-Perez, Jordi Deu-Pons, David Tamborero, Nuria Lopez-Bigas, Abel Gonzalez-Perez

Abstract

Profiling the somatic mutations of genes which may inform about tumor evolution, prognostics and treatment is becoming a standard tool in clinical oncology. Commercially available cancer gene panels rely on manually gathered cancer-related genes, in a "one-size-fits-many" solution. The design of new panels requires laborious search of literature and cancer genomics resources, with their performance on cohorts of patients difficult to estimate. We present OncoPaD, to our knowledge the first tool aimed at the rational design of cancer gene panels. OncoPaD estimates the cost-effectiveness of the designed panel on a cohort of tumors and provides reports on the importance of individual mutations for tumorigenesis or therapy. With a friendly interface and intuitive input, OncoPaD suggests researchers relevant sets of genes to be included in the panel, because prior knowledge or analyses indicate that their mutations either drive tumorigenesis or function as biomarkers of drug response. OncoPaD also provides reports on the importance of individual mutations for tumorigenesis or therapy that support the interpretation of the results obtained with the designed panel. We demonstrate in silico that OncoPaD designed panels are more cost-effective-i.e. detect a maximum fraction of tumors in the cohort by sequencing a minimum quantity of DNA-than available panels. With its unique features, OncoPaD will help clinicians and researchers design tailored next-generating sequencing (NGS) panels to detect circulating tumor DNA or biopsy specimens, thereby facilitating early and accurate detection of tumors, genomics informed therapeutic decisions, patient follow-up and timely identification of resistance mechanisms to targeted agents. OncoPaD may be accessed through http://www.intogen.org/oncopad.

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 3%
Ireland 1 2%
Argentina 1 2%
Brazil 1 2%
Unknown 57 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 29%
Student > Master 10 16%
Student > Ph. D. Student 6 10%
Student > Bachelor 5 8%
Other 4 6%
Other 8 13%
Unknown 11 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 24%
Agricultural and Biological Sciences 15 24%
Medicine and Dentistry 9 15%
Computer Science 6 10%
Nursing and Health Professions 1 2%
Other 6 10%
Unknown 10 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 November 2016.
All research outputs
#978,664
of 23,599,036 outputs
Outputs from Genome Medicine
#193
of 1,467 outputs
Outputs of similar age
#19,338
of 323,118 outputs
Outputs of similar age from Genome Medicine
#5
of 33 outputs
Altmetric has tracked 23,599,036 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 1,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one has done well, scoring higher than 86% 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 323,118 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 94% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.