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Bridging consent: from toll bridges to lift bridges?

Overview of attention for article published in BMC Medical Genomics, October 2011
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1 tweeter

Citations

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13 Dimensions

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Title
Bridging consent: from toll bridges to lift bridges?
Published in
BMC Medical Genomics, October 2011
DOI 10.1186/1755-8794-4-69
Pubmed ID
Authors

Isabelle Budin-Ljøsne, Isabelle Budin-Ljøsne, Anne Tassé, Bartha Knoppers, Jennifer R Harris

Abstract

The ability to share human biological samples, associated data and results across disease-specific and population-based human research biobanks is becoming increasingly important for research into disease development and translation. Although informed consent often does not anticipate such cross-domain sharing, it is important to examine its plausibility. The purpose of this study was to explore the feasibility of bridging consent between disease-specific and population-based research. Comparative analyses of 1) current ethical and legal frameworks governing consent and 2) informed consent models found in disease-specific and population-based research were conducted.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 6%
Switzerland 1 6%
Unknown 14 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 38%
Student > Master 3 19%
Student > Ph. D. Student 1 6%
Professor 1 6%
Student > Bachelor 1 6%
Other 4 25%
Readers by discipline Count As %
Medicine and Dentistry 6 38%
Agricultural and Biological Sciences 4 25%
Social Sciences 3 19%
Business, Management and Accounting 2 13%
Philosophy 1 6%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 10 October 2011.
All research outputs
#3,084,345
of 4,506,977 outputs
Outputs from BMC Medical Genomics
#234
of 310 outputs
Outputs of similar age
#41,914
of 67,270 outputs
Outputs of similar age from BMC Medical Genomics
#4
of 4 outputs
Altmetric has tracked 4,506,977 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 310 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
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 67,270 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
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.