Robot | Path | Permission |
GoogleBot | / | ✔ |
BingBot | / | ✔ |
BaiduSpider | / | ✔ |
YandexBot | / | ✔ |
Title | Online Journal of Public Health |
Description | Open access Online Journal of Public Health |
Keywords | N/A |
WebSite | ojphi.org |
Host IP | 131.193.153.28 |
Location | United States |
Site | Rank |
US$1,250,025
Last updated: 2023-05-04 08:21:05
ojphi.org has Semrush global rank of 8,467,278. ojphi.org has an estimated worth of US$ 1,250,025, based on its estimated Ads revenue. ojphi.org receives approximately 144,234 unique visitors each day. Its web server is located in United States, with IP address 131.193.153.28. According to SiteAdvisor, ojphi.org is safe to visit. |
Purchase/Sale Value | US$1,250,025 |
Daily Ads Revenue | US$1,154 |
Monthly Ads Revenue | US$34,617 |
Yearly Ads Revenue | US$415,393 |
Daily Unique Visitors | 9,616 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
ojphi.org. | A | 86400 | IP: 131.193.153.28 |
ojphi.org. | NS | 86400 | NS Record: uic-dns3.uic.edu. |
ojphi.org. | NS | 86400 | NS Record: uic-dns2.uic.edu. |
ojphi.org. | NS | 86400 | NS Record: uic-dns1.uic.edu. |
ojphi.org. | NS | 86400 | NS Record: icestation.uic-accc.uiuc.edu. |
ojphi.org. | MX | 86400 | MX Record: 0 ojphi.org. |
Skip to main navigation menu Skip to announcements Skip to the current issue Skip to site footer Open Menu Online Journal of Public Health Informatics Online Journal of Public Health Informatics About About the Journal Editorial Team Privacy Statement Contact Submissions Current Archives Search Announcements Preprints Search Register Login Announcements MIGRATION OF OJPHI ARTICLES TO THE JMIR PLATFORM 2023-01-29 We are getting ready to migrate the OJPHI articles to JMIR platform. Read More Read more about MIGRATION OF OJPHI ARTICLES TO THE JMIR PLATFORM THE MIGRATION OF OJPHI ARTICLES IN PIPELINE TO JMIR PLATFORM 2023-01-22 Current Issue Vol. 14 No. 1 (2022): Online Journal of Public Health Informatics Published: 2022-08-11 Original Articles Using a Machine Learning Algorithm to Predict Online Patient Portal Utilization: A Patient Engagement Study Ahmed U. Otokiti, Colleen M. Farrelly, Leyla Warsame, Angie Li PDF Designing a Browser Extension for Reliable Online Health Information |
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