↓ Skip to main content

PEIS: a novel approach of tumor purity estimation by identifying information sites through integrating signal based on DNA methylation data

Overview of attention for article published in BMC Bioinformatics, December 2019
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
14 Mendeley
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
PEIS: a novel approach of tumor purity estimation by identifying information sites through integrating signal based on DNA methylation data
Published in
BMC Bioinformatics, December 2019
DOI 10.1186/s12859-019-3227-1
Pubmed ID
Authors

Shudong Wang, Lihua Wang, Yuanyuan Zhang, Shanchen Pang, Xinzeng Wang

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 36%
Student > Doctoral Student 3 21%
Unspecified 1 7%
Lecturer 1 7%
Student > Ph. D. Student 1 7%
Other 1 7%
Unknown 2 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 29%
Medicine and Dentistry 2 14%
Unspecified 1 7%
Nursing and Health Professions 1 7%
Mathematics 1 7%
Other 2 14%
Unknown 3 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 February 2020.
All research outputs
#9,594,930
of 17,100,199 outputs
Outputs from BMC Bioinformatics
#3,375
of 6,082 outputs
Outputs of similar age
#181,851
of 389,908 outputs
Outputs of similar age from BMC Bioinformatics
#304
of 575 outputs
Altmetric has tracked 17,100,199 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,082 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 41st percentile – i.e., 41% 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 389,908 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 575 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.