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Mendeley readers
| 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 8 | 47% |
| Professor | 2 | 12% |
| Student > Bachelor | 2 | 12% |
| Unknown | 5 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 8 | 47% |
| Arts and Humanities | 1 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Computer Science | 1 | 6% |
| Engineering | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 5 | 29% |