| Title |
Personal Cancer Genome Reporter: variant interpretation report for precision oncology
|
|---|---|
| Published in |
Bioinformatics, December 2017
|
| DOI | 10.1093/bioinformatics/btx817 |
| Pubmed ID | |
| Authors |
Sigve Nakken, Ghislain Fournous, Daniel Vodák, Lars Birger Aasheim, Ola Myklebost, Eivind Hovig |
| Abstract |
Individual tumor genomes pose a major challenge for clinical interpretation due to their unique sets of acquired mutations. There is a general scarcity of tools that can i) systematically interrogate cancer genomes in the context of diagnostic, prognostic, and therapeutic biomarkers, ii) prioritize and highlight the most important findings, and iii) present the results in a format accessible to clinical experts. We have developed a stand-alone, open-source software package for somatic variant annotation that integrates a comprehensive set of knowledge resources related to tumor biology and therapeutic biomarkers, both at the gene and variant level. Our application generates a tiered report that will aid the interpretation of individual cancer genomes in a clinical setting. The software is implemented in Python/R, and is freely available through Docker technology. Documentation, example reports, and installation instructions are accessible via the project GitHub page: https://github.com/sigven/pcgr). [email protected]. Supplementary data are available at Bioinformatics online. |
X Demographics
The data shown below were collected from the profiles of 24 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 17% |
| Spain | 2 | 8% |
| Germany | 1 | 4% |
| Hong Kong | 1 | 4% |
| Guinea | 1 | 4% |
| Australia | 1 | 4% |
| China | 1 | 4% |
| United Kingdom | 1 | 4% |
| Italy | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 9 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 54% |
| Scientists | 11 | 46% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Unknown | 81 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 23% |
| Student > Master | 9 | 11% |
| Student > Ph. D. Student | 8 | 10% |
| Other | 7 | 9% |
| Student > Postgraduate | 5 | 6% |
| Other | 12 | 15% |
| Unknown | 22 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 19 | 23% |
| Agricultural and Biological Sciences | 15 | 18% |
| Medicine and Dentistry | 9 | 11% |
| Computer Science | 8 | 10% |
| Social Sciences | 4 | 5% |
| Other | 3 | 4% |
| Unknown | 24 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 January 2019.
All research outputs
#2,964,691
of 25,163,238 outputs
Outputs from Bioinformatics
#2,405
of 12,331 outputs
Outputs of similar age
#62,985
of 453,121 outputs
Outputs of similar age from Bioinformatics
#35
of 189 outputs
Altmetric has tracked 25,163,238 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,331 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done well, scoring higher than 80% 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 453,121 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 189 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.