The data shown below were collected from the profiles of 8 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 |
An autoencoder-based deep learning method for genotype imputation
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, November 2022
|
| DOI | 10.3389/frai.2022.1028978 |
| Pubmed ID | |
| Authors |
Meng Song, Jonathan Greenbaum, Joseph Luttrell, Weihua Zhou, Chong Wu, Zhe Luo, Chuan Qiu, Lan Juan Zhao, Kuan-Jui Su, Qing Tian, Hui Shen, Huixiao Hong, Ping Gong, Xinghua Shi, Hong-Wen Deng, Chaoyang Zhang |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 13% |
| Switzerland | 1 | 13% |
| Unknown | 6 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 14% |
| Researcher | 2 | 10% |
| Student > Master | 2 | 10% |
| Student > Bachelor | 1 | 5% |
| Other | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 11 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 14% |
| Biochemistry, Genetics and Molecular Biology | 2 | 10% |
| Neuroscience | 2 | 10% |
| Arts and Humanities | 1 | 5% |
| Engineering | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 12 | 57% |