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Twitter Demographics
Mendeley readers
Chapter title |
Quantitative Comparison of Generative Shape Models for Medical Images
|
---|---|
Chapter number | 45 |
Book title |
Bildverarbeitung für die Medizin 2020
|
Published by |
Springer Vieweg, Wiesbaden, January 2020
|
DOI | 10.1007/978-3-658-29267-6_45 |
Book ISBNs |
978-3-65-829266-9, 978-3-65-829267-6
|
Authors |
Hristina Uzunova, Paul Kaftan, Matthias Wilms, Nils D. Forkert, Heinz Handels, Jan Ehrhardt, Uzunova, Hristina, Kaftan, Paul, Wilms, Matthias, Forkert, Nils D., Handels, Heinz, Ehrhardt, Jan |
Twitter Demographics
The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 4 | 57% |
India | 1 | 14% |
Canada | 1 | 14% |
Unknown | 1 | 14% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 71% |
Practitioners (doctors, other healthcare professionals) | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 5 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 1 | 20% |
Researcher | 1 | 20% |
Lecturer | 1 | 20% |
Student > Master | 1 | 20% |
Unknown | 1 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Mathematics | 1 | 20% |
Computer Science | 1 | 20% |
Unknown | 3 | 60% |