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Cell-composition effects in the analysis of DNA methylation array data: a mathematical perspective

Overview of attention for article published in BMC Bioinformatics, March 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
1 news outlet
twitter
9 X users

Citations

dimensions_citation
98 Dimensions

Readers on

mendeley
104 Mendeley
citeulike
2 CiteULike
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Title
Cell-composition effects in the analysis of DNA methylation array data: a mathematical perspective
Published in
BMC Bioinformatics, March 2015
DOI 10.1186/s12859-015-0527-y
Pubmed ID
Authors

E Andres Houseman, Karl T Kelsey, John K Wiencke, Carmen J Marsit

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Denmark 1 <1%
Canada 1 <1%
Brazil 1 <1%
Unknown 100 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 20%
Researcher 19 18%
Student > Doctoral Student 15 14%
Student > Master 11 11%
Student > Bachelor 9 9%
Other 14 13%
Unknown 15 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 32%
Biochemistry, Genetics and Molecular Biology 15 14%
Medicine and Dentistry 10 10%
Computer Science 8 8%
Mathematics 4 4%
Other 14 13%
Unknown 20 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 15 June 2024.
All research outputs
#2,538,959
of 26,149,954 outputs
Outputs from BMC Bioinformatics
#617
of 7,781 outputs
Outputs of similar age
#30,944
of 279,118 outputs
Outputs of similar age from BMC Bioinformatics
#10
of 136 outputs
Altmetric has tracked 26,149,954 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,781 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 92% of its peers.
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 279,118 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 88% of its contemporaries.
We're also able to compare this research output to 136 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.