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Mendeley readers
Chapter title |
Towards an Efficient Way of Building Annotated Medical Image Collections for Big Data Studies
|
---|---|
Chapter number | 10 |
Book title |
Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis
|
Published by |
Springer, Cham, September 2017
|
DOI | 10.1007/978-3-319-67534-3_10 |
Book ISBNs |
978-3-31-967533-6, 978-3-31-967534-3
|
Authors |
Yaniv Gur, Mehdi Moradi, Hakan Bulu, Yufan Guo, Colin Compas, Tanveer Syeda-Mahmood |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 27% |
Student > Ph. D. Student | 3 | 20% |
Professor | 2 | 13% |
Other | 1 | 7% |
Student > Master | 1 | 7% |
Other | 1 | 7% |
Unknown | 3 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 33% |
Engineering | 3 | 20% |
Nursing and Health Professions | 1 | 7% |
Medicine and Dentistry | 1 | 7% |
Physics and Astronomy | 1 | 7% |
Other | 0 | 0% |
Unknown | 4 | 27% |