Article "Hoa hậu Thế giới người Việt 2010" in Vietnamese Wikipedia has 30.5 points for quality (as of August 1, 2024). The article contains 31 references and 8 sections.
Since the creation of article "Hoa hậu Thế giới người Việt 2010", its content was written by 14 registered users of Vietnamese Wikipedia and edited by 14 registered Wikipedia users in all languages.
The article is cited 36 times in Vietnamese Wikipedia and cited 36 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: #890 08.2010 |
Global: #376417 08.2010 |
On 15 January 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Squid Game, Elon Musk, Squid Game, season 2, deaths in 2025, ChatGPT, Nosferatu, Donald Trump, Neil Gaiman, Pete Hegseth, Greenland.
In Vietnamese Wikipedia the most popular articles on that day were: Đài Truyền hình Kỹ thuật số VTC, Phạm Nhật Vượng, Nguyễn Phương Nhi, Quân khu 3, Quân đội nhân dân Việt Nam, Tô Lâm, Đài Á Châu Tự Do, Lương Thùy Linh, Thanh Thủy (hoa hậu), Đài Truyền hình Việt Nam, Giải thưởng Làn Sóng Xanh 2024.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(33.52+17.82+9.09+40+52.21)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
