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Mendeley readers
Attention Score in Context
| Title |
ISOpureR: an R implementation of a computational purification algorithm of mixed tumour profiles
|
|---|---|
| Published in |
BMC Bioinformatics, May 2015
|
| DOI | 10.1186/s12859-015-0597-x |
| Pubmed ID | |
| Authors |
Catalina V Anghel, Gerald Quon, Syed Haider, Francis Nguyen, Amit G Deshwar, Quaid D Morris, Paul C Boutros |
| Abstract |
Tumour samples containing distinct sub-populations of cancer and normal cells present challenges in the development of reproducible biomarkers, as these biomarkers are based on bulk signals from mixed tumour profiles. ISOpure is the only mRNA computational purification method to date that does not require a paired tumour-normal sample, provides a personalized cancer profile for each patient, and has been tested on clinical data. Replacing mixed tumour profiles with ISOpure-preprocessed cancer profiles led to better prognostic gene signatures for lung and prostate cancer. To simplify the integration of ISOpure into standard R-based bioinformatics analysis pipelines, the algorithm has been implemented as an R package. The ISOpureR package performs analogously to the original code in estimating the fraction of cancer cells and the patient cancer mRNA abundance profile from tumour samples in four cancer datasets. The ISOpureR package estimates the fraction of cancer cells and personalized patient cancer mRNA abundance profile from a mixed tumour profile. This open-source R implementation enables integration into existing computational pipelines, as well as easy testing, modification and extension of the model. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Iran, Islamic Republic of | 1 | 1% |
| United Kingdom | 1 | 1% |
| Denmark | 1 | 1% |
| Unknown | 88 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 32% |
| Student > Master | 16 | 17% |
| Student > Ph. D. Student | 11 | 12% |
| Student > Bachelor | 9 | 10% |
| Student > Doctoral Student | 6 | 6% |
| Other | 10 | 11% |
| Unknown | 11 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 29% |
| Biochemistry, Genetics and Molecular Biology | 25 | 27% |
| Computer Science | 11 | 12% |
| Medicine and Dentistry | 4 | 4% |
| Mathematics | 3 | 3% |
| Other | 7 | 8% |
| Unknown | 16 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 07 August 2015.
All research outputs
#17,758,492
of 22,805,349 outputs
Outputs from BMC Bioinformatics
#5,930
of 7,281 outputs
Outputs of similar age
#179,424
of 264,461 outputs
Outputs of similar age from BMC Bioinformatics
#100
of 119 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,281 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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 264,461 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 119 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.