Article "Hòn Mài" in Vietnamese Wikipedia has 28.9 points for quality (as of August 1, 2024). The article contains 9 references and 5 sections.
Since the creation of article "Hòn Mài", its content was written by 4 registered users of Vietnamese Wikipedia and edited by 4 registered Wikipedia users in all languages.
The article is cited 1 times in Vietnamese Wikipedia and cited 1 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 | Vietnamese: #64981 10.2021 |
Global: #4373048 10.2021 |
| Best Rank | Vietnamese: #2385 10.2021 |
Global: #305199 10.2021 |
On 6 April 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Adolescence, Val Kilmer, A Minecraft Movie, Alexander Ovechkin, Donald Trump, 2025 Formula One World Championship, Wayne Gretzky, deaths in 2025, The White Lotus, 1923.
In Vietnamese Wikipedia the most popular articles on that day were: Đài Truyền hình Kỹ thuật số VTC, Giỗ Tổ Hùng Vương, Địa đạo: Mặt trời trong bóng tối, Hùng Vương, Trương Hòa Bình, Nguyễn Thúc Thùy Tiên, Tô Lâm, Nguyễn Thị Kim Tiến, Cúp bóng đá U-17 châu Á 2025, Địa đạo Củ Chi.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(7.2+5.17+36.36+25+70.6)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
