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Improving the prediction of the functional impact of cancer mutations by baseline tolerance transformation

Overview of attention for article published in Genome Medicine, November 2012
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

blogs
2 blogs
twitter
9 X users

Citations

dimensions_citation
94 Dimensions

Readers on

mendeley
149 Mendeley
citeulike
6 CiteULike
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Title
Improving the prediction of the functional impact of cancer mutations by baseline tolerance transformation
Published in
Genome Medicine, November 2012
DOI 10.1186/gm390
Pubmed ID
Authors

Abel Gonzalez-Perez, Jordi Deu-Pons, Nuria Lopez-Bigas

Abstract

ABSTRACT: High-throughput prioritization of cancer-causing mutations (drivers) is a key challenge of cancer genome projects, due to the number of somatic variants detected in tumors. One important step in this task is to assess the functional impact of tumor somatic mutations. A number of computational methods have been employed for that purpose, although most were originally developed to distinguish disease-related nonsynonymous single nucleotide variants (nsSNVs) from polymorphisms. Our new method, transformed Functional Impact score for Cancer (transFIC), improves the assessment of the functional impact of tumor nsSNVs by taking into account the baseline tolerance of genes to functional variants.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 4%
Italy 3 2%
Spain 3 2%
Korea, Republic of 2 1%
Sweden 1 <1%
Singapore 1 <1%
Germany 1 <1%
United Kingdom 1 <1%
Argentina 1 <1%
Other 0 0%
Unknown 130 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 39 26%
Student > Ph. D. Student 37 25%
Student > Master 14 9%
Student > Bachelor 14 9%
Other 9 6%
Other 19 13%
Unknown 17 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 40%
Biochemistry, Genetics and Molecular Biology 26 17%
Computer Science 16 11%
Medicine and Dentistry 9 6%
Engineering 3 2%
Other 13 9%
Unknown 23 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 14 August 2023.
All research outputs
#2,084,363
of 25,371,288 outputs
Outputs from Genome Medicine
#464
of 1,585 outputs
Outputs of similar age
#18,407
of 285,829 outputs
Outputs of similar age from Genome Medicine
#4
of 23 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 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has gotten more attention than average, scoring higher than 70% 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 285,829 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 93% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.