Usage Information
Abstract
Human reproduction is relatively inefficient. Nearly 30% of pregnancies result in spontaneous losses, which are both a clinical problem and a psychological stress to the families involved. Furthermore, although the human population is growing rapidly and is predicted to reach 9 billion by 2050, 15% of couples worldwide are childless because of infertility. Many underlying causes of infertility have been overcome by assisted reproductive technologies such as in vitro fertilization, yet pregnancy success rates using such approaches remain disappointingly low. Since mechanistic approaches to study human reproductive processes are ethically restricted, future advances in fertility treatment and the development of new contraceptives rely predominantly on the study of the factors influencing reproduction in model systems. The articles in this Reproductive Biology Review series present updates on the current understanding of various reproductive processes in model systems and raise questions that need to be addressed if we are to improve human reproductive health.
Authors
Sudhansu K. Dey
Usage data is cumulative from July 2025 through July 2026.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 1,247 | 1,093 |
| 239 | 46 | |
| Figure | 656 | 1 |
| Citation downloads | 208 | 0 |
| Totals | 2,350 | 1,140 |
| Total Views | 3,490 | |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.
Copyright © 2026 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)