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Patterns of Reliability: Assessing the Reproducibility and Integrity of DNA Methylation Measurement

Overview of attention for article published in Patterns, May 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
24 X users

Readers on

mendeley
103 Mendeley
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Article details
Title
Patterns of Reliability: Assessing the Reproducibility and Integrity of DNA Methylation Measurement
Published in
Patterns, May 2020
DOI 10.1016/j.patter.2020.100014
Pubmed ID
Authors

Karen Sugden, Eilis J. Hannon, Louise Arseneault, Daniel W. Belsky, David L. Corcoran, Helen L. Fisher, Renate M. Houts, Radhika Kandaswamy, Terrie E. Moffitt, Richie Poulton, Joseph A. Prinz, Line J.H. Rasmussen, Benjamin S. Williams, Chloe C.Y. Wong, Jonathan Mill, Avshalom Caspi

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 24 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 103 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 24 23%
Researcher 16 16%
Student > Master 9 9%
Student > Postgraduate 5 5%
Student > Doctoral Student 4 4%
Other 15 15%
Unknown 30 29%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 17%
Agricultural and Biological Sciences 13 13%
Psychology 7 7%
Medicine and Dentistry 6 6%
Computer Science 4 4%
Other 24 23%
Unknown 32 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 September 2023.
All research outputs
#1,491,586
of 34,393,205 outputs
Outputs from Patterns
#152
of 852 outputs
Outputs of similar age
#32,290
of 437,468 outputs
Outputs of similar age from Patterns
#5
of 37 outputs
Altmetric has tracked 34,393,205 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 852 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 32.0. This one has done well, scoring higher than 82% 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 437,468 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 92% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.