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% |