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RF_Purify: a novel tool for comprehensive analysis of tumor-purity in methylation array data based on random forest regression

Overview of attention for article published in BMC Bioinformatics, August 2019
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
38 Mendeley
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Title
RF_Purify: a novel tool for comprehensive analysis of tumor-purity in methylation array data based on random forest regression
Published in
BMC Bioinformatics, August 2019
DOI 10.1186/s12859-019-3014-z
Pubmed ID
Authors

Pascal David Johann, Natalie Jäger, Stefan M. Pfister, Martin Sill

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 29%
Student > Ph. D. Student 7 18%
Student > Doctoral Student 3 8%
Student > Bachelor 2 5%
Student > Master 2 5%
Other 2 5%
Unknown 11 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 13%
Medicine and Dentistry 4 11%
Agricultural and Biological Sciences 4 11%
Immunology and Microbiology 2 5%
Chemistry 2 5%
Other 7 18%
Unknown 14 37%
Attention Score in Context

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 18 August 2019.
All research outputs
#15,578,089
of 23,153,849 outputs
Outputs from BMC Bioinformatics
#5,432
of 7,341 outputs
Outputs of similar age
#192,713
of 312,709 outputs
Outputs of similar age from BMC Bioinformatics
#84
of 106 outputs
Altmetric has tracked 23,153,849 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,341 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 18th percentile – i.e., 18% 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 312,709 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 106 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.