The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Timeline
Mendeley readers
| Title |
A Preliminary Study to Use SUVmax of FDG PET-CT as an Identifier of Lesion for Artificial Intelligence
|
|---|---|
| Published in |
Frontiers in Medicine, April 2021
|
| DOI | 10.3389/fmed.2021.647562 |
| Pubmed ID | |
| Authors |
Kenji Hirata, Osamu Manabe, Keiichi Magota, Sho Furuya, Tohru Shiga, Kohsuke Kudo |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 10% |
| Other | 1 | 5% |
| Librarian | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Researcher | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 14 | 70% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 10% |
| Computer Science | 2 | 10% |
| Neuroscience | 1 | 5% |
| Engineering | 1 | 5% |
| Unknown | 14 | 70% |