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Random forest-based modelling to detect biomarkers for prostate cancer progression

Overview of attention for article published in Clinical Epigenetics, October 2019
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2 X users

Citations

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111 Mendeley
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Title
Random forest-based modelling to detect biomarkers for prostate cancer progression
Published in
Clinical Epigenetics, October 2019
DOI 10.1186/s13148-019-0736-8
Pubmed ID
Authors

Reka Toth, Heiko Schiffmann, Claudia Hube-Magg, Franziska Büscheck, Doris Höflmayer, Sören Weidemann, Patrick Lebok, Christoph Fraune, Sarah Minner, Thorsten Schlomm, Guido Sauter, Christoph Plass, Yassen Assenov, Ronald Simon, Jan Meiners, Clarissa Gerhäuser

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The data shown below were collected from the profiles of 2 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 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 111 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 15%
Researcher 14 13%
Student > Ph. D. Student 12 11%
Student > Bachelor 10 9%
Student > Doctoral Student 8 7%
Other 17 15%
Unknown 33 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 27 24%
Medicine and Dentistry 19 17%
Computer Science 5 5%
Chemistry 4 4%
Immunology and Microbiology 4 4%
Other 13 12%
Unknown 39 35%
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 28 October 2019.
All research outputs
#18,034,866
of 23,170,347 outputs
Outputs from Clinical Epigenetics
#955
of 1,276 outputs
Outputs of similar age
#251,291
of 358,215 outputs
Outputs of similar age from Clinical Epigenetics
#30
of 42 outputs
Altmetric has tracked 23,170,347 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 1,276 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 20th percentile – i.e., 20% 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 358,215 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.