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X Demographics
Mendeley readers
Chapter title |
The λ-MLEM Algorithm: An Iterative Reconstruction Technique for Metal Artifact Reduction in CT Images
|
---|---|
Chapter number | 6 |
Book title |
Advances in Medical Engineering
|
Published by |
Springer Berlin Heidelberg, February 2016
|
DOI | 10.1007/978-3-540-68764-1_6 |
Book ISBNs |
978-3-54-068763-4, 978-3-54-068764-1
|
Authors |
May Oehler, Thorsten M. Buzug |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Korea, Republic of | 1 | 8% |
Unknown | 12 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 62% |
Professor | 2 | 15% |
Student > Master | 1 | 8% |
Researcher | 1 | 8% |
Professor > Associate Professor | 1 | 8% |
Other | 0 | 0% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 5 | 38% |
Physics and Astronomy | 3 | 23% |
Computer Science | 2 | 15% |
Arts and Humanities | 1 | 8% |
Medicine and Dentistry | 1 | 8% |
Other | 1 | 8% |