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Timeline
X Demographics
Mendeley readers
Title |
A Survey of Topological Machine Learning Methods
|
---|---|
Published in |
Frontiers in Artificial Intelligence, May 2021
|
DOI | 10.3389/frai.2021.681108 |
Pubmed ID | |
Authors |
Felix Hensel, Michael Moor, Bastian Rieck |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 13% |
Switzerland | 3 | 7% |
Ireland | 2 | 4% |
Germany | 1 | 2% |
Qatar | 1 | 2% |
Georgia | 1 | 2% |
South Africa | 1 | 2% |
Spain | 1 | 2% |
Unknown | 29 | 64% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 32 | 71% |
Scientists | 13 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 124 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 22 | 18% |
Researcher | 17 | 14% |
Lecturer | 7 | 6% |
Student > Bachelor | 7 | 6% |
Student > Master | 7 | 6% |
Other | 15 | 12% |
Unknown | 49 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 21 | 17% |
Mathematics | 13 | 10% |
Engineering | 12 | 10% |
Biochemistry, Genetics and Molecular Biology | 6 | 5% |
Earth and Planetary Sciences | 2 | 2% |
Other | 17 | 14% |
Unknown | 53 | 43% |