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Erratum to: Making sense of big data in health research: towards an EU action plan

Overview of attention for article published in Genome Medicine, November 2016
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2 X users

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15 Dimensions

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32 Mendeley
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Title
Erratum to: Making sense of big data in health research: towards an EU action plan
Published in
Genome Medicine, November 2016
DOI 10.1186/s13073-016-0376-y
Pubmed ID
Authors

Charles Auffray, Rudi Balling, Inês Barroso, László Bencze, Mikael Benson, Jay Bergeron, Enrique Bernal-Delgado, Niklas Blomberg, Christoph Bock, Ana Conesa, Susanna Del Signore, Christophe Delogne, Peter Devilee, Alberto Di Meglio, Marinus Eijkemans, Paul Flicek, Norbert Graf, Vera Grimm, Henk-Jan Guchelaar, Yi-Ke Guo, Ivo Glynne Gut, Allan Hanbury, Shahid Hanif, Ralf-Dieter Hilgers, Ángel Honrado, D. Rod Hose, Jeanine Houwing-Duistermaat, Tim Hubbard, Sophie Helen Janacek, Haralampos Karanikas, Tim Kievits, Manfred Kohler, Andreas Kremer, Jerry Lanfear, Thomas Lengauer, Edith Maes, Theo Meert, Werner Müller, Dörthe Nickel, Peter Oledzki, Bertrand Pedersen, Milan Petkovic, Konstantinos Pliakos, Magnus Rattray, Josep Redón i Màs, Reinhard Schneider, Thierry Sengstag, Xavier Serra-Picamal, Wouter Spek, Lea A. I. Vaas, Okker van Batenburg, Marc Vandelaer, Peter Varnai, Pablo Villoslada, Juan Antonio Vizcaíno, John Peter Mary Wubbe, Gianluigi Zanetti

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 13%
Student > Master 4 13%
Professor 4 13%
Student > Bachelor 2 6%
Student > Ph. D. Student 2 6%
Other 7 22%
Unknown 9 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 16%
Medicine and Dentistry 4 13%
Business, Management and Accounting 2 6%
Nursing and Health Professions 2 6%
Computer Science 2 6%
Other 9 28%
Unknown 8 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 November 2016.
All research outputs
#14,292,849
of 24,027,644 outputs
Outputs from Genome Medicine
#1,274
of 1,482 outputs
Outputs of similar age
#168,995
of 316,430 outputs
Outputs of similar age from Genome Medicine
#32
of 38 outputs
Altmetric has tracked 24,027,644 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,482 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one is in the 12th percentile – i.e., 12% 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 316,430 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.