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Harmonising and linking biomedical and clinical data across disparate data archives to enable integrative cross-biobank research

Overview of attention for article published in European Journal of Human Genetics, August 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
1 news outlet
twitter
16 X users
googleplus
8 Google+ users

Readers on

mendeley
89 Mendeley
citeulike
4 CiteULike
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Article details
Title
Harmonising and linking biomedical and clinical data across disparate data archives to enable integrative cross-biobank research
Published in
European Journal of Human Genetics, August 2015
DOI 10.1038/ejhg.2015.165
Pubmed ID
Authors
Abstract

A wealth of biospecimen samples are stored in modern globally distributed biobanks. Biomedical researchers worldwide need to be able to combine the available resources to improve the power of large-scale studies. A prerequisite for this effort is to be able to search and access phenotypic, clinical and other information about samples that are currently stored at biobanks in an integrated manner. However, privacy issues together with heterogeneous information systems and the lack of agreed-upon vocabularies have made specimen searching across multiple biobanks extremely challenging. We describe three case studies where we have linked samples and sample descriptions in order to facilitate global searching of available samples for research. The use cases include the ENGAGE (European Network for Genetic and Genomic Epidemiology) consortium comprising at least 39 cohorts, the SUMMIT (surrogate markers for micro- and macro-vascular hard endpoints for innovative diabetes tools) consortium and a pilot for data integration between a Swedish clinical health registry and a biobank. We used the Sample avAILability (SAIL) method for data linking: first, created harmonised variables and then annotated and made searchable information on the number of specimens available in individual biobanks for various phenotypic categories. By operating on this categorised availability data we sidestep many obstacles related to privacy that arise when handling real values and show that harmonised and annotated records about data availability across disparate biomedical archives provide a key methodological advance in pre-analysis exchange of information between biobanks, that is, during the project planning phase.European Journal of Human Genetics advance online publication, 26 August 2015; doi:10.1038/ejhg.2015.165.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 1%
Ukraine 1 1%
Sweden 1 1%
Portugal 1 1%
Netherlands 1 1%
United Kingdom 1 1%
Finland 1 1%
Spain 1 1%
Unknown 81 91%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 24 27%
Student > Ph. D. Student 10 11%
Student > Bachelor 8 9%
Other 7 8%
Professor 6 7%
Other 19 21%
Unknown 15 17%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 13 15%
Computer Science 13 15%
Agricultural and Biological Sciences 13 15%
Biochemistry, Genetics and Molecular Biology 11 12%
Engineering 3 3%
Other 16 18%
Unknown 20 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 03 March 2017.
All research outputs
#1,689,633
of 34,194,383 outputs
Outputs from European Journal of Human Genetics
#230
of 4,516 outputs
Outputs of similar age
#17,453
of 304,488 outputs
Outputs of similar age from European Journal of Human Genetics
#3
of 64 outputs
Altmetric has tracked 34,194,383 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,516 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done particularly well, scoring higher than 94% 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 304,488 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 94% of its contemporaries.
We're also able to compare this research output to 64 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 95% of its contemporaries.