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The governance structure for data access in the DIRECT consortium: an innovative medicines initiative (IMI) project

Overview of attention for article published in Life Sciences, Society and Policy, September 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)

Mentioned by

policy
1 policy source
twitter
1 X user

Readers on

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18 Mendeley
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Title
The governance structure for data access in the DIRECT consortium: an innovative medicines initiative (IMI) project
Published in
Life Sciences, Society and Policy, September 2018
DOI 10.1186/s40504-018-0083-0
Pubmed ID
Authors

Harriet J. A. Teare, Federico de Masi, Karina Banasik, Anna Barnett, Sanna Herrgard, Bernd Jablonka, Jacqueline W. M. Postma, Timothy J. McDonald, Ian Forgie, Piotr J. Chmura, Emil K. Rydzka, Ramneek Gupta, Soren Brunak, Ewan Pearson, Jane Kaye

Abstract

Biomedical research projects involving multiple partners from public and private sectors require coherent internal governance mechanisms to engender good working relationships. The DIRECT project is an example of such a venture, funded by the Innovative Medicines Initiative Joint Undertaking (IMI JU). This paper describes the data access policy that was developed within DIRECT to support data access and sharing, via the establishment of a 3-tiered Data Access Committee. The process was intended to allow quick access to data, whilst enabling strong oversight of how data were being accessed and by whom, and any subsequent analyses, to contribute to the overall objectives of the consortium.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 22%
Student > Doctoral Student 2 11%
Librarian 1 6%
Student > Master 1 6%
Researcher 1 6%
Other 1 6%
Unknown 8 44%
Readers by discipline Count As %
Computer Science 3 17%
Medicine and Dentistry 3 17%
Nursing and Health Professions 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Social Sciences 1 6%
Other 1 6%
Unknown 8 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 25 March 2021.
All research outputs
#7,062,183
of 23,102,082 outputs
Outputs from Life Sciences, Society and Policy
#72
of 109 outputs
Outputs of similar age
#123,038
of 335,392 outputs
Outputs of similar age from Life Sciences, Society and Policy
#6
of 6 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 109 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.6. This one is in the 33rd percentile – i.e., 33% 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 335,392 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.