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Dynamic Consent: a potential solution to some of the challenges of modern biomedical research

Overview of attention for article published in BMC Medical Ethics, January 2017
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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 (90th percentile)

Mentioned by

twitter
28 tweeters
facebook
3 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
96 Dimensions

Readers on

mendeley
199 Mendeley
citeulike
1 CiteULike
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Title
Dynamic Consent: a potential solution to some of the challenges of modern biomedical research
Published in
BMC Medical Ethics, January 2017
DOI 10.1186/s12910-016-0162-9
Pubmed ID
Authors

Isabelle Budin-Ljøsne, Harriet J. A. Teare, Jane Kaye, Stephan Beck, Heidi Beate Bentzen, Luciana Caenazzo, Clive Collett, Flavio D’Abramo, Heike Felzmann, Teresa Finlay, Muhammad Kassim Javaid, Erica Jones, Višnja Katić, Amy Simpson, Deborah Mascalzoni

Abstract

Innovations in technology have contributed to rapid changes in the way that modern biomedical research is carried out. Researchers are increasingly required to endorse adaptive and flexible approaches to accommodate these innovations and comply with ethical, legal and regulatory requirements. This paper explores how Dynamic Consent may provide solutions to address challenges encountered when researchers invite individuals to participate in research and follow them up over time in a continuously changing environment. An interdisciplinary workshop jointly organised by the University of Oxford and the COST Action CHIP ME gathered clinicians, researchers, ethicists, lawyers, research participants and patient representatives to discuss experiences of using Dynamic Consent, and how such use may facilitate the conduct of specific research tasks. The data collected during the workshop were analysed using a content analysis approach. Dynamic Consent can provide practical, sustainable and future-proof solutions to challenges related to participant recruitment, the attainment of informed consent, participant retention and consent management, and may bring economic efficiencies. Dynamic Consent offers opportunities for ongoing communication between researchers and research participants that can positively impact research. Dynamic Consent supports inter-sector, cross-border approaches and large scale data-sharing. Whilst it is relatively easy to set up and maintain, its implementation will require that researchers re-consider their relationship with research participants and adopt new procedures.

Twitter Demographics

The data shown below were collected from the profiles of 28 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 199 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 <1%
Belgium 1 <1%
Brazil 1 <1%
Unknown 196 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 20%
Researcher 37 19%
Student > Master 29 15%
Student > Bachelor 11 6%
Other 10 5%
Other 32 16%
Unknown 41 21%
Readers by discipline Count As %
Medicine and Dentistry 38 19%
Social Sciences 31 16%
Computer Science 20 10%
Biochemistry, Genetics and Molecular Biology 11 6%
Agricultural and Biological Sciences 10 5%
Other 45 23%
Unknown 44 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 21 July 2020.
All research outputs
#1,126,625
of 17,083,063 outputs
Outputs from BMC Medical Ethics
#106
of 748 outputs
Outputs of similar age
#32,934
of 364,410 outputs
Outputs of similar age from BMC Medical Ethics
#1
of 1 outputs
Altmetric has tracked 17,083,063 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 748 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. 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 364,410 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 90% of its contemporaries.
We're also able to compare this research output to 1 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