The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Mendeley readers
| Title |
Three-Dimensional Convolutional Autoencoder Extracts Features of Structural Brain Images With a “Diagnostic Label-Free” Approach: Application to Schizophrenia Datasets
|
|---|---|
| Published in |
Frontiers in Neuroscience, July 2021
|
| DOI | 10.3389/fnins.2021.652987 |
| Pubmed ID | |
| Authors |
Hiroyuki Yamaguchi, Yuki Hashimoto, Genichi Sugihara, Jun Miyata, Toshiya Murai, Hidehiko Takahashi, Manabu Honda, Akitoyo Hishimoto, Yuichi Yamashita |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 17% |
| Student > Master | 5 | 14% |
| Student > Ph. D. Student | 4 | 11% |
| Student > Bachelor | 3 | 9% |
| Other | 2 | 6% |
| Other | 1 | 3% |
| Unknown | 14 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 6 | 17% |
| Computer Science | 5 | 14% |
| Engineering | 4 | 11% |
| Medicine and Dentistry | 2 | 6% |
| Psychology | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 14 | 40% |