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A systematic literature review of individuals’ perspectives on broad consent and data sharing in the United States

Overview of attention for article published in Genetics in Medicine, November 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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
policy
1 policy source
twitter
22 X users
facebook
1 Facebook page

Readers on

mendeley
185 Mendeley
Title
A systematic literature review of individuals’ perspectives on broad consent and data sharing in the United States
Published in
Genetics in Medicine, November 2015
DOI 10.1038/gim.2015.138
Pubmed ID
Authors

Nanibaa' A. Garrison, Nila A. Sathe, Armand H. Matheny Antommaria, Ingrid A. Holm, Saskia C. Sanderson, Maureen E. Smith, Melissa L. McPheeters, Ellen W. Clayton

Abstract

In 2011, an Advanced Notice of Proposed Rulemaking proposed that de-identified human data and specimens be included in biobanks only if patients provide consent. The National Institutes of Health Genomic Data Sharing policy went into effect in 2015, requiring broad consent from almost all research participants. We conducted a systematic literature review of attitudes toward biobanking, broad consent, and data sharing. Bibliographic databases included MEDLINE, Web of Science, EthxWeb, and GenETHX. Study screening was conducted using DistillerSR. The final 48 studies included surveys (n = 23), focus groups (n = 8), mixed methods (n = 14), interviews (n = 1), and consent form analyses (n = 2). Study quality was characterized as good (n = 19), fair (n = 27), and poor (n = 2). Although many participants objected, broad consent was often preferred over tiered or study-specific consent, particularly when broad consent was the only option, samples were de-identified, logistics of biobanks were communicated, and privacy was addressed. Willingness for data to be shared was high, but it was lower among individuals from under-represented minorities, individuals with privacy and confidentiality concerns, and when pharmaceutical companies had access to data. Additional research is needed to understand factors affecting willingness to give broad consent for biobank research and data sharing in order to address concerns to enhance acceptability.Genet Med advance online publication 19 November 2015Genetics in Medicine (2015); doi:10.1038/gim.2015.138.

X Demographics

X Demographics

The data shown below were collected from the profiles of 22 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 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
United States 1 <1%
Saudi Arabia 1 <1%
Unknown 182 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 16%
Researcher 27 15%
Student > Master 21 11%
Other 12 6%
Student > Doctoral Student 8 4%
Other 33 18%
Unknown 54 29%
Readers by discipline Count As %
Social Sciences 30 16%
Medicine and Dentistry 27 15%
Biochemistry, Genetics and Molecular Biology 10 5%
Nursing and Health Professions 10 5%
Computer Science 10 5%
Other 33 18%
Unknown 65 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 14 April 2021.
All research outputs
#1,340,842
of 25,373,627 outputs
Outputs from Genetics in Medicine
#427
of 2,943 outputs
Outputs of similar age
#22,031
of 392,489 outputs
Outputs of similar age from Genetics in Medicine
#7
of 43 outputs
Altmetric has tracked 25,373,627 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 2,943 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.0. This one has done well, scoring higher than 85% 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 392,489 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 94% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.