Article "พระยาแสนซ้าย" in Thai Wikipedia has 9.8 points for quality (as of August 1, 2024). The article contains 2 references and 3 sections.
Since the creation of article "พระยาแสนซ้าย", its content was written by 5 registered users of Thai Wikipedia and edited by 5 registered Wikipedia users in all languages.
The article is cited 11 times in Thai Wikipedia and cited 11 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 | Thai: #41353 11.2022 |
Global: #3709335 11.2022 |
On 20 February 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Pope Francis, Elon Musk, Donald Trump, Zero Day, 2024–25 UEFA Champions League, killing of Gabby Petito, Kylian Mbappé, UEFA Champions League, ChatGPT, Volodymyr Zelenskyy.
In Thai Wikipedia the most popular articles on that day were: องค์การกระจายเสียงและแพร่ภาพสาธารณะแห่งประเทศไทย, พิเศษ:ค้นหา, อสมท, คุณพี่เจ้าขาดิฉันเป็นห่านมิใช่หงส์, อัญรินทร์ ธีราธนันพัฒน์, มาเลเซียแอร์ไลน์ เที่ยวบินที่ 370, พระบาทสมเด็จพระพุทธยอดฟ้าจุฬาโลกมหาราช, พระบาทสมเด็จพระจุลจอมเกล้าเจ้าอยู่หัว, พระบาทสมเด็จพระวชิรเกล้าเจ้าอยู่หัว, อาณาจักรสุโขทัย.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(6.43+1.79+0+15+25.58)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
