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Twitter Demographics
Mendeley readers
Chapter title |
Abstract: Generative Adversarial Networks for Stereoscopic Hyperrealism in Surgical Training
|
---|---|
Chapter number | 75 |
Book title |
Bildverarbeitung für die Medizin 2020
|
Published by |
Springer Vieweg, Wiesbaden, January 2020
|
DOI | 10.1007/978-3-658-29267-6_75 |
Book ISBNs |
978-3-65-829266-9, 978-3-65-829267-6
|
Authors |
Sandy Engelhardt, Lalith Sharan, Matthias Karck, Raffaele De Simone, Ivo Wolf, Engelhardt, Sandy, Sharan, Lalith, Karck, Matthias, De Simone, Raffaele, Wolf, Ivo |
Twitter Demographics
The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 5 | 83% |
Unknown | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 25% |
Lecturer | 2 | 17% |
Researcher | 2 | 17% |
Student > Doctoral Student | 1 | 8% |
Professor > Associate Professor | 1 | 8% |
Other | 0 | 0% |
Unknown | 3 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 50% |
Decision Sciences | 1 | 8% |
Engineering | 1 | 8% |
Unknown | 4 | 33% |