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X Demographics
Mendeley readers
Title |
Liberal transfusion strategy to prevent mortality and anaemia-associated, ischaemic events in elderly non-cardiac surgical patients – the study design of the LIBERAL-Trial
|
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Published in |
Trials, February 2019
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DOI | 10.1186/s13063-019-3200-3 |
Pubmed ID | |
Authors |
Patrick Meybohm, Simone Lindau, Sascha Treskatsch, Roland Francis, Claudia Spies, Markus Velten, Maria Wittmann, Erdem Gueresir, Christian Stoppe, Ana Kowark, Mark Coburn, Sixten Selleng, Marcel Baschin, Gregor Jenichen, Melanie Meersch, Thomas Ermert, Alexander Zarbock, Peter Kranke, Markus Kredel, Antonia Helf, Rita Laufenberg-Feldmann, Marion Ferner, Eva Wittenmeier, Karl-Heinz Gürtler, Peter Kienbaum, Marcel Gama de Abreu, Michael Sander, Michael Bauer, Timo Seyfried, Matthias Gruenewald, Suma Choorapoikayil, Markus M. Mueller, Erhard Seifried, Oana Brosteanu, Holger Bogatsch, Dirk Hasenclever, Kai Zacharowski |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 40% |
Denmark | 2 | 20% |
Argentina | 1 | 10% |
Unknown | 3 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 40% |
Practitioners (doctors, other healthcare professionals) | 3 | 30% |
Science communicators (journalists, bloggers, editors) | 2 | 20% |
Scientists | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 122 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 16 | 13% |
Student > Master | 13 | 11% |
Student > Bachelor | 12 | 10% |
Other | 8 | 7% |
Student > Ph. D. Student | 5 | 4% |
Other | 15 | 12% |
Unknown | 53 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 37 | 30% |
Nursing and Health Professions | 9 | 7% |
Biochemistry, Genetics and Molecular Biology | 4 | 3% |
Social Sciences | 3 | 2% |
Psychology | 3 | 2% |
Other | 11 | 9% |
Unknown | 55 | 45% |