Article "بیمارستان تأمین اجتماعی (خرمآباد)" in Persian Wikipedia has 16 points for quality (as of August 1, 2024). The article contains 3 references and 1 sections. The article also contains quality flaw template, which reduce quality score.
Since the creation of article "بیمارستان تأمین اجتماعی (خرمآباد)", its content was written by 9 registered users of Persian Wikipedia and edited by 9 registered Wikipedia users in all languages.
The article is cited 22 times in Persian Wikipedia and cited 22 times in all languages.
The highest Authors Interest rank from 2001:
The highest popularity rank from 2008:
There is 1 language version for this article in the WikiRank database (of the considered 55 Wikipedia language editions).
The quality and popularity assessment was based on Wikipédia dumps from August 1, 2024 (including revision history and pageviews for previous years).
| Best Rank | Persian: #44722 06.2013 |
Global: #3266576 02.2018 |
| Best Rank | Persian: #7013 10.2013 |
Global: #516242 07.2012 |
On 2 March 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Volodymyr Zelenskyy, Elon Musk, Gene Hackman, 97th Academy Awards, Donald Trump, JD Vance, Bob Dylan, The Brutalist, Michelle Trachtenberg, Pope Francis.
In Persian Wikipedia the most popular articles on that day were: عبدالناصر همتی, سید رحمتالله اکرمی, بووایسار سایتیف, حسین بهاروند, بدل (مجموعه تلویزیونی), ویتنی رایت, ولودیمیر زلنسکی, روشهای آمیزش جنسی, عبدالرسول زرین, ایلان ماسک.
The WikiRank project is intended for automatic relative evaluation of the articles in the various language versions of Wikipedia. At the moment the service allows to compare over 44 million Wikipedia articles in 55 languages. Quality scores of articles are based on Wikipedia dumps from August, 2024. When calculating current popularity and AI of articles data from July 2024 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2023... More information
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
