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Evaluation of commonly used analysis strategies for epigenome- and transcriptome-wide association studies through replication of large-scale population studies

Overview of attention for article published in Genome Biology, November 2019
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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 (91st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
44 X users

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
72 Mendeley
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Title
Evaluation of commonly used analysis strategies for epigenome- and transcriptome-wide association studies through replication of large-scale population studies
Published in
Genome Biology, November 2019
DOI 10.1186/s13059-019-1878-x
Pubmed ID
Authors

Jeroen van Rooij, Pooja R. Mandaviya, Annique Claringbould, Janine F. Felix, Jenny van Dongen, Rick Jansen, Lude Franke, Peter A. C. ’t Hoen, Bas Heijmans, Joyce B. J. van Meurs

X Demographics

X Demographics

The data shown below were collected from the profiles of 44 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 29%
Researcher 11 15%
Student > Master 7 10%
Student > Bachelor 5 7%
Student > Postgraduate 4 6%
Other 11 15%
Unknown 13 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 29 40%
Agricultural and Biological Sciences 11 15%
Medicine and Dentistry 5 7%
Neuroscience 2 3%
Nursing and Health Professions 1 1%
Other 4 6%
Unknown 20 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 18 May 2020.
All research outputs
#1,500,693
of 25,519,924 outputs
Outputs from Genome Biology
#1,190
of 4,486 outputs
Outputs of similar age
#31,894
of 375,505 outputs
Outputs of similar age from Genome Biology
#49
of 96 outputs
Altmetric has tracked 25,519,924 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,486 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 73% 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 375,505 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 96 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 50% of its contemporaries.