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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 (91st percentile)

Mentioned by

twitter
30 tweeters
facebook
3 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
70 Dimensions

Readers on

mendeley
162 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 30 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 162 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 159 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 19%
Researcher 30 19%
Student > Master 26 16%
Other 10 6%
Professor > Associate Professor 7 4%
Other 26 16%
Unknown 33 20%
Readers by discipline Count As %
Medicine and Dentistry 34 21%
Social Sciences 23 14%
Computer Science 15 9%
Biochemistry, Genetics and Molecular Biology 9 6%
Agricultural and Biological Sciences 9 6%
Other 37 23%
Unknown 35 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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
#920,817
of 15,544,329 outputs
Outputs from BMC Medical Ethics
#84
of 683 outputs
Outputs of similar age
#29,798
of 356,702 outputs
Outputs of similar age from BMC Medical Ethics
#1
of 1 outputs
Altmetric has tracked 15,544,329 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 683 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 87% 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 356,702 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 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