Article “ข้อบังคับสำหรับสินค้าที่ใช้รักษาโรค” in Thai Wikipedia has 1.2 points for quality (as of July 1, 2025). The article also contains templates indicating quality issues, therefore its score was reduced by 0.06 points.
Since the creation of article “ข้อบังคับสำหรับสินค้าที่ใช้รักษาโรค”, its content was written by 4 registered users of Thai Wikipedia and edited by 4 registered Wikipedia users in all languages.
The article is cited 278 times in Thai Wikipedia (6498th place) and cited 278 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 July 1, 2025 (including revision history and pageviews for previous years).
| Best Rank | Thai: #23351 01.2008 |
Global: #3255212 01.2008 |
| Best Rank | Thai: #1386 01.2006 |
Global: #484665 01.2006 |
On 7 October 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Ed Gein, Ilse Koch, Lizzie Borden, Anthony Perkins, Monster: The Ed Gein Story, Greta Thunberg, Richard Speck, Psycho, ChatGPT, Charlie Hunnam.
In Thai Wikipedia the most popular articles on that day were: องค์การกระจายเสียงและแพร่ภาพสาธารณะแห่งประเทศไทย, วันออกพรรษา, พิเศษ:ค้นหา, อสมท, กรรชัย กำเนิดพลอย, ทศพล หมายสุข, ตักบาตรเทโว, ธี่หยด 3, เอ็ด กีน, ศุภจี สุธรรมพันธุ์.
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 July, 2025. When calculating current popularity and AI of articles data from June 2025 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2025... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(1.69+0+0+4.76+0)-0.06$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
