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X Demographics
Mendeley readers
Attention Score in Context
| 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. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 29% |
| Germany | 1 | 14% |
| Italy | 1 | 14% |
| Canada | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 3% |
| Netherlands | 2 | 1% |
| Austria | 1 | <1% |
| Brazil | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 129 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 20% |
| Student > Ph. D. Student | 19 | 14% |
| Student > Master | 14 | 10% |
| Other | 12 | 9% |
| Student > Doctoral Student | 9 | 7% |
| Other | 26 | 19% |
| Unknown | 31 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 16% |
| Computer Science | 17 | 12% |
| Social Sciences | 11 | 8% |
| Agricultural and Biological Sciences | 9 | 7% |
| Psychology | 8 | 6% |
| Other | 33 | 24% |
| Unknown | 38 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 16 January 2014.
All research outputs
#7,041,169
of 25,837,817 outputs
Outputs from Emerging Themes in Epidemiology
#64
of 154 outputs
Outputs of similar age
#74,901
of 319,365 outputs
Outputs of similar age from Emerging Themes in Epidemiology
#2
of 3 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 154 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has gotten more attention than average, scoring higher than 57% 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 319,365 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.