↓ Skip to main content

Estimating and accounting for tumor purity in the analysis of DNA methylation data from cancer studies

Overview of attention for article published in Genome Biology, January 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
13 X users

Citations

dimensions_citation
111 Dimensions

Readers on

mendeley
148 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Estimating and accounting for tumor purity in the analysis of DNA methylation data from cancer studies
Published in
Genome Biology, January 2017
DOI 10.1186/s13059-016-1143-5
Pubmed ID
Authors

Xiaoqi Zheng, Naiqian Zhang, Hua-Jun Wu, Hao Wu

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Norway 1 <1%
Unknown 146 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 24%
Student > Ph. D. Student 28 19%
Student > Master 15 10%
Student > Bachelor 13 9%
Other 5 3%
Other 16 11%
Unknown 36 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 42 28%
Agricultural and Biological Sciences 28 19%
Computer Science 11 7%
Medicine and Dentistry 11 7%
Mathematics 4 3%
Other 13 9%
Unknown 39 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 29 June 2017.
All research outputs
#5,439,530
of 25,728,350 outputs
Outputs from Genome Biology
#2,914
of 4,508 outputs
Outputs of similar age
#100,782
of 424,576 outputs
Outputs of similar age from Genome Biology
#40
of 62 outputs
Altmetric has tracked 25,728,350 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,508 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one is in the 35th percentile – i.e., 35% 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 424,576 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 76% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.