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DataSHIELD: taking the analysis to the data, not the data to the analysis

Overview of attention for article published in International Journal of Epidemiology, September 2014
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
policy
2 policy sources
twitter
13 tweeters

Citations

dimensions_citation
175 Dimensions

Readers on

mendeley
198 Mendeley
citeulike
1 CiteULike
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Title
DataSHIELD: taking the analysis to the data, not the data to the analysis
Published in
International Journal of Epidemiology, September 2014
DOI 10.1093/ije/dyu188
Pubmed ID
Authors

Amadou Gaye, Yannick Marcon, Julia Isaeva, Philippe LaFlamme, Andrew Turner, Elinor M Jones, Joel Minion, Andrew W Boyd, Christopher J Newby, Marja-Liisa Nuotio, Rebecca Wilson, Oliver Butters, Barnaby Murtagh, Ipek Demir, Dany Doiron, Lisette Giepmans, Susan E Wallace, Isabelle Budin-Ljøsne, Carsten Oliver Schmidt, Paolo Boffetta, Mathieu Boniol, Maria Bota, Kim W Carter, Nick deKlerk, Chris Dibben, Richard W Francis, Tero Hiekkalinna, Kristian Hveem, Kirsti Kvaløy, Sean Millar, Ivan J Perry, Annette Peters, Catherine M Phillips, Frank Popham, Gillian Raab, Eva Reischl, Nuala Sheehan, Melanie Waldenberger, Markus Perola, Edwin van den Heuvel, John Macleod, Bartha M Knoppers, Ronald P Stolk, Isabel Fortier, Jennifer R Harris, Bruce HR Woffenbuttel, Madeleine J Murtagh, Vincent Ferretti, Paul R Burton

Abstract

Research in modern biomedicine and social science requires sample sizes so large that they can often only be achieved through a pooled co-analysis of data from several studies. But the pooling of information from individuals in a central database that may be queried by researchers raises important ethico-legal questions and can be controversial. In the UK this has been highlighted by recent debate and controversy relating to the UK's proposed 'care.data' initiative, and these issues reflect important societal and professional concerns about privacy, confidentiality and intellectual property. DataSHIELD provides a novel technological solution that can circumvent some of the most basic challenges in facilitating the access of researchers and other healthcare professionals to individual-level data.

Twitter Demographics

The data shown below were collected from the profiles of 13 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 198 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
France 2 1%
Finland 2 1%
Bulgaria 1 <1%
Netherlands 1 <1%
United States 1 <1%
Unknown 188 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 49 25%
Student > Ph. D. Student 36 18%
Student > Master 26 13%
Professor 14 7%
Other 10 5%
Other 30 15%
Unknown 33 17%
Readers by discipline Count As %
Medicine and Dentistry 46 23%
Computer Science 39 20%
Agricultural and Biological Sciences 15 8%
Social Sciences 15 8%
Biochemistry, Genetics and Molecular Biology 8 4%
Other 33 17%
Unknown 42 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 11 April 2022.
All research outputs
#1,479,311
of 23,577,761 outputs
Outputs from International Journal of Epidemiology
#759
of 5,594 outputs
Outputs of similar age
#17,007
of 254,305 outputs
Outputs of similar age from International Journal of Epidemiology
#3
of 41 outputs
Altmetric has tracked 23,577,761 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 5,594 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.0. This one has done well, scoring higher than 86% 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 254,305 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 93% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.