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Epigenome data release: a participant-centered approach to privacy protection

Overview of attention for article published in Genome Biology (Online Edition), July 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 (89th percentile)

Mentioned by

twitter
29 tweeters

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
51 Mendeley
citeulike
2 CiteULike
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Title
Epigenome data release: a participant-centered approach to privacy protection
Published in
Genome Biology (Online Edition), July 2015
DOI 10.1186/s13059-015-0723-0
Pubmed ID
Authors

Stephanie O. M. Dyke, Warren A. Cheung, Yann Joly, Ole Ammerpohl, Pavlo Lutsik, Mark A. Rothstein, Maxime Caron, Stephan Busche, Guillaume Bourque, Lars Rönnblom, Paul Flicek, Stephan Beck, Martin Hirst, Henk Stunnenberg, Reiner Siebert, Jörn Walter, Tomi Pastinen

Abstract

Large-scale epigenome mapping by the NIH Roadmap Epigenomics Project, the ENCODE Consortium and the International Human Epigenome Consortium (IHEC) produces genome-wide DNA methylation data at one base-pair resolution. We examine how such data can be made open-access while balancing appropriate interpretation and genomic privacy. We propose guidelines for data release that both reduce ambiguity in the interpretation of open-access data and limit immediate access to genetic variation data that are made available through controlled access.

Twitter Demographics

The data shown below were collected from the profiles of 29 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Germany 1 2%
Switzerland 1 2%
Italy 1 2%
Unknown 47 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 25%
Student > Ph. D. Student 11 22%
Student > Master 4 8%
Unspecified 4 8%
Other 4 8%
Other 15 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 31%
Agricultural and Biological Sciences 14 27%
Unspecified 8 16%
Computer Science 7 14%
Medicine and Dentistry 4 8%
Other 2 4%

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 12 May 2017.
All research outputs
#1,089,019
of 13,631,079 outputs
Outputs from Genome Biology (Online Edition)
#1,131
of 3,035 outputs
Outputs of similar age
#23,073
of 228,940 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 4 outputs
Altmetric has tracked 13,631,079 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.8. This one has gotten more attention than average, scoring higher than 62% 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 228,940 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 89% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them