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X Demographics
Mendeley readers
Attention Score in Context
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 |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 33% |
United Kingdom | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 31% |
Student > Doctoral Student | 3 | 23% |
Lecturer | 1 | 8% |
Student > Ph. D. Student | 1 | 8% |
Professor > Associate Professor | 1 | 8% |
Other | 0 | 0% |
Unknown | 3 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 3 | 23% |
Medicine and Dentistry | 2 | 15% |
Nursing and Health Professions | 1 | 8% |
Mathematics | 1 | 8% |
Computer Science | 1 | 8% |
Other | 1 | 8% |
Unknown | 4 | 31% |
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 29 February 2020.
All research outputs
#13,903,378
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#4,306
of 7,400 outputs
Outputs of similar age
#225,458
of 459,611 outputs
Outputs of similar age from BMC Bioinformatics
#99
of 210 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,400 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 38th percentile – i.e., 38% 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 459,611 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 210 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.