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Data harmonization and federated analysis of population-based studies: the BioSHaRE project

Overview of attention for article published in Emerging Themes in Epidemiology, November 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#12 of 112)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
policy
1 policy source
twitter
7 tweeters

Citations

dimensions_citation
63 Dimensions

Readers on

mendeley
77 Mendeley
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Title
Data harmonization and federated analysis of population-based studies: the BioSHaRE project
Published in
Emerging Themes in Epidemiology, November 2013
DOI 10.1186/1742-7622-10-12
Pubmed ID
Authors

Dany Doiron, Paul Burton, Yannick Marcon, Amadou Gaye, Bruce H R Wolffenbuttel, Markus Perola, Ronald P Stolk, Luisa Foco, Cosetta Minelli, Melanie Waldenberger, Rolf Holle, Kirsti Kvaløy, Hans L Hillege, Anne-Marie Tassé, Vincent Ferretti, Isabel Fortier

Abstract

Individual-level data pooling of large population-based studies across research centres in international research projects faces many hurdles. The BioSHaRE (Biobank Standardisation and Harmonisation for Research Excellence in the European Union) project aims to address these issues by building a collaborative group of investigators and developing tools for data harmonization, database integration and federated data analyses.

Twitter Demographics

The data shown below were collected from the profiles of 7 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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 6 8%
Netherlands 2 3%
Brazil 1 1%
Austria 1 1%
Canada 1 1%
Unknown 66 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 22%
Student > Ph. D. Student 11 14%
Other 10 13%
Student > Bachelor 7 9%
Student > Master 7 9%
Other 19 25%
Unknown 6 8%
Readers by discipline Count As %
Medicine and Dentistry 19 25%
Computer Science 10 13%
Agricultural and Biological Sciences 7 9%
Social Sciences 6 8%
Psychology 5 6%
Other 18 23%
Unknown 12 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 14 March 2018.
All research outputs
#1,030,608
of 14,343,993 outputs
Outputs from Emerging Themes in Epidemiology
#12
of 112 outputs
Outputs of similar age
#18,491
of 253,758 outputs
Outputs of similar age from Emerging Themes in Epidemiology
#1
of 10 outputs
Altmetric has tracked 14,343,993 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 112 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has done well, scoring higher than 89% 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 253,758 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 92% of its contemporaries.
We're also able to compare this research output to 10 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