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Controlling bias and inflation in epigenome- and transcriptome-wide association studies using the empirical null distribution

Overview of attention for article published in Genome Biology, January 2017
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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
12 X users

Citations

dimensions_citation
269 Dimensions

Readers on

mendeley
233 Mendeley
citeulike
1 CiteULike
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Title
Controlling bias and inflation in epigenome- and transcriptome-wide association studies using the empirical null distribution
Published in
Genome Biology, January 2017
DOI 10.1186/s13059-016-1131-9
Pubmed ID
Authors

Maarten van Iterson, Erik W. van Zwet, the BIOS Consortium, Bastiaan T. Heijmans

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 233 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Norway 1 <1%
Unknown 232 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 57 24%
Researcher 39 17%
Student > Master 33 14%
Student > Bachelor 14 6%
Student > Doctoral Student 10 4%
Other 29 12%
Unknown 51 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 67 29%
Agricultural and Biological Sciences 42 18%
Medicine and Dentistry 14 6%
Neuroscience 8 3%
Nursing and Health Professions 4 2%
Other 33 14%
Unknown 65 28%
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 15 October 2017.
All research outputs
#5,307,749
of 26,017,215 outputs
Outputs from Genome Biology
#2,870
of 4,520 outputs
Outputs of similar age
#98,563
of 429,433 outputs
Outputs of similar age from Genome Biology
#39
of 61 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,520 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one is in the 36th percentile – i.e., 36% 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 429,433 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 61 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.