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X Demographics
Mendeley readers
| Title |
A Comparative Study of Machine Learning Methods for Persistence Diagrams
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, July 2021
|
| DOI | 10.3389/frai.2021.681174 |
| Pubmed ID | |
| Authors |
Danielle Barnes, Luis Polanco, Jose A. Perea |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 20% |
| Switzerland | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 21% |
| Researcher | 4 | 12% |
| Student > Doctoral Student | 2 | 6% |
| Student > Master | 1 | 3% |
| Student > Bachelor | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 18 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 3 | 9% |
| Mathematics | 3 | 9% |
| Chemical Engineering | 2 | 6% |
| Computer Science | 2 | 6% |
| Chemistry | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 17 | 52% |