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X Demographics
Mendeley readers
Chapter title |
Inferring Temporal Phenotypes with Topological Data Analysis and Pseudo Time-Series
|
---|---|
Chapter number | 50 |
Book title |
Artificial Intelligence in Medicine
|
Published by |
Springer, Cham, May 2019
|
DOI | 10.1007/978-3-030-21642-9_50 |
Book ISBNs |
978-3-03-021641-2, 978-3-03-021642-9
|
Authors |
Arianna Dagliati, Nophar Geifman, Niels Peek, John H. Holmes, Lucia Sacchi, Seyed Erfan Sajjadi, Allan Tucker, Dagliati, Arianna, Geifman, Nophar, Peek, Niels, Holmes, John H., Sacchi, Lucia, Sajjadi, Seyed Erfan, Tucker, Allan |
X Demographics
The data shown below were collected from the profiles of 6 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 Kingdom | 3 | 50% |
Italy | 1 | 17% |
Unknown | 2 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 4 | 67% |
Members of the public | 2 | 33% |
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 % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 3 | 23% |
Student > Ph. D. Student | 2 | 15% |
Student > Master | 2 | 15% |
Lecturer | 1 | 8% |
Other | 1 | 8% |
Other | 1 | 8% |
Unknown | 3 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 3 | 23% |
Computer Science | 2 | 15% |
Philosophy | 1 | 8% |
Unspecified | 1 | 8% |
Unknown | 6 | 46% |