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Making sense of big data in health research: Towards an EU action plan

Overview of attention for article published in Genome Medicine, June 2016
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
policy
1 policy source
twitter
148 X users
facebook
2 Facebook pages
googleplus
2 Google+ users

Citations

dimensions_citation
222 Dimensions

Readers on

mendeley
642 Mendeley
citeulike
2 CiteULike
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Title
Making sense of big data in health research: Towards an EU action plan
Published in
Genome Medicine, June 2016
DOI 10.1186/s13073-016-0323-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

Abstract

Medicine and healthcare are undergoing profound changes. Whole-genome sequencing and high-resolution imaging technologies are key drivers of this rapid and crucial transformation. Technological innovation combined with automation and miniaturization has triggered an explosion in data production that will soon reach exabyte proportions. How are we going to deal with this exponential increase in data production? The potential of "big data" for improving health is enormous but, at the same time, we face a wide range of challenges to overcome urgently. Europe is very proud of its cultural diversity; however, exploitation of the data made available through advances in genomic medicine, imaging, and a wide range of mobile health applications or connected devices is hampered by numerous historical, technical, legal, and political barriers. European health systems and databases are diverse and fragmented. There is a lack of harmonization of data formats, processing, analysis, and data transfer, which leads to incompatibilities and lost opportunities. Legal frameworks for data sharing are evolving. Clinicians, researchers, and citizens need improved methods, tools, and training to generate, analyze, and query data effectively. Addressing these barriers will contribute to creating the European Single Market for health, which will improve health and healthcare for all Europeans.

X Demographics

X Demographics

The data shown below were collected from the profiles of 148 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 642 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 <1%
Germany 2 <1%
Sweden 2 <1%
Spain 2 <1%
Tanzania, United Republic of 1 <1%
Netherlands 1 <1%
Belgium 1 <1%
New Zealand 1 <1%
Denmark 1 <1%
Other 1 <1%
Unknown 625 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 97 15%
Student > Ph. D. Student 94 15%
Student > Master 92 14%
Student > Bachelor 55 9%
Other 30 5%
Other 123 19%
Unknown 151 24%
Readers by discipline Count As %
Medicine and Dentistry 95 15%
Computer Science 94 15%
Biochemistry, Genetics and Molecular Biology 45 7%
Social Sciences 45 7%
Agricultural and Biological Sciences 38 6%
Other 158 25%
Unknown 167 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 125. 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 24 June 2021.
All research outputs
#335,528
of 25,563,770 outputs
Outputs from Genome Medicine
#57
of 1,596 outputs
Outputs of similar age
#6,710
of 369,102 outputs
Outputs of similar age from Genome Medicine
#5
of 27 outputs
Altmetric has tracked 25,563,770 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,596 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one has done particularly well, scoring higher than 96% 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 369,102 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 98% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.