| Title |
Using artificial intelligence to predict the intrauterine insemination success rate among infertile couples
|
|---|---|
| Published in |
Middle East Fertility Society Journal, December 2021
|
| DOI | 10.1186/s43043-021-00091-2 |
| Authors |
Azadeh Akbari Sene, Zahra Zandieh, Mojgan Soflaei, Hamid Mokhtari Torshizi, Kourosh Sheibani |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 23% |
| Professor | 2 | 15% |
| Student > Bachelor | 2 | 15% |
| Unknown | 6 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 3 | 23% |
| Arts and Humanities | 1 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 8% |
| Computer Science | 1 | 8% |
| Engineering | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 6 | 46% |