The data shown below were collected from the profiles of 45 X users who shared this research output. Click here to find out more about how the information was compiled.
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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% |