Article "Trang Nhung" in Vietnamese Wikipedia has 28.9 points for quality (as of August 1, 2024). The article contains 15 references and 6 sections.
Since the creation of article "Trang Nhung", its content was written by 13 registered users of Vietnamese Wikipedia and edited by 13 registered Wikipedia users in all languages.
The article is cited 12 times in Vietnamese Wikipedia and cited 12 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: #4823 01.2017 |
Global: #792993 09.2019 |
On 27 November 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Empress Elisabeth of Austria, Franz Joseph I of Austria, Thanksgiving, UEFA Champions League, Wicked, Gladiator II, Elon Musk, ChatGPT, deaths in 2024, Wicked.
In Vietnamese Wikipedia the most popular articles on that day were: Đài Truyền hình Kỹ thuật số VTC, Nguyễn Văn Thắng (chính khách), Đợt sắp xếp, sáp nhập đơn vị hành chính tại Việt Nam 2023–2030, Việt Nam, Văn Miếu – Quốc Tử Giám, Đài Truyền hình Việt Nam, Khuất Duy Tiến (trung tướng), Khuất Duy Tiến, Việt Nam Tuyên truyền Giải phóng quân, Đế hệ thi.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(5.69+8.62+0+30+100)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
