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Individual patient data meta-analysis for the clinical assessment of coronary computed tomography angiography: protocol of the Collaborative Meta-Analysis of Cardiac CT (CoMe-CCT)

Overview of attention for article published in Systematic Reviews, February 2013
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Title
Individual patient data meta-analysis for the clinical assessment of coronary computed tomography angiography: protocol of the Collaborative Meta-Analysis of Cardiac CT (CoMe-CCT)
Published in
Systematic Reviews, February 2013
DOI 10.1186/2046-4053-2-13
Pubmed ID
Authors

Georg M Schuetz, Peter Schlattmann, Stephan Achenbach, Matthew Budoff, Mario J Garcia, Robert Roehle, Gianluca Pontone, Willem Bob Meijboom, Daniele Andreini, Hatem Alkadhi, Lily Honoris, Nuno Bettencourt, Jörg Hausleiter, Sebastian Leschka, Bernhard L Gerber, Matthijs FL Meijs, Abbas Arjmand Shabestari, Akira Sato, Elke Zimmermann, Uwe J Schoepf, Axel Diederichsen, David A Halon, Vladimir Mendoza-Rodriguez, Ashraf Hamdan, Bjarne L Nørgaard, Harald Brodoefel, Kristian A Øvrehus, Shona MM Jenkins, Bjørn A Halvorsen, Johannes Rixe, Mehraj Sheikh, Christoph Langer, Eugenio Martuscelli, Andrea Romagnoli, Arthur JHA Scholte, Roy P Marcus, Geir R Ulimoen, Koen Nieman, Hans Mickley, Konstantin Nikolaou, Jean-Claude Tardif, Thorsten RC Johnson, Simone Muraglia, Benjamin JW Chow, David Maintz, Michael Laule, Marc Dewey

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 22%
Other 5 12%
Professor > Associate Professor 5 12%
Professor 3 7%
Student > Postgraduate 3 7%
Other 7 17%
Unknown 9 22%
Readers by discipline Count As %
Medicine and Dentistry 18 44%
Agricultural and Biological Sciences 3 7%
Biochemistry, Genetics and Molecular Biology 2 5%
Engineering 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 4 10%
Unknown 11 27%