↓ Skip to main content

Prediction model construction of mouse stem cell pluripotency using CpG and non-CpG DNA methylation markers

Overview of attention for article published in BMC Bioinformatics, May 2020
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
12 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
Prediction model construction of mouse stem cell pluripotency using CpG and non-CpG DNA methylation markers
Published in
BMC Bioinformatics, May 2020
DOI 10.1186/s12859-020-3448-3
Pubmed ID
Authors

Soobok Joe, Hojung Nam

X Demographics

X Demographics

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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 25%
Researcher 1 8%
Student > Postgraduate 1 8%
Student > Master 1 8%
Unknown 6 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 25%
Nursing and Health Professions 1 8%
Social Sciences 1 8%
Neuroscience 1 8%
Unknown 6 50%
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 05 May 2020.
All research outputs
#18,722,646
of 23,206,358 outputs
Outputs from BMC Bioinformatics
#6,389
of 7,354 outputs
Outputs of similar age
#287,338
of 381,406 outputs
Outputs of similar age from BMC Bioinformatics
#97
of 114 outputs
Altmetric has tracked 23,206,358 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,354 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 5th percentile – i.e., 5% 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 381,406 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 114 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.