Article "Nguyễn Lạc Hồng" in Vietnamese Wikipedia has 23.6 points for quality (as of August 1, 2024). The article contains 8 references and 2 sections.
Since the creation of article "Nguyễn Lạc Hồng", its content was written by 9 registered users of Vietnamese Wikipedia and edited by 9 registered Wikipedia users in all languages.
The article is cited 3 times in Vietnamese Wikipedia and cited 3 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: #30360 01.2021 |
Global: #2667494 01.2021 |
On 7 February 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Elon Musk, Donald Trump, Bianca Censori, Kanye West, Cristiano Ronaldo, United States Agency for International Development, deaths in 2025, Karla Sofía Gascón, Benson Boone, Irv Gotti.
In Vietnamese Wikipedia the most popular articles on that day were: Đài Truyền hình Kỹ thuật số VTC, Na Tra: Ma đồng giáng thế, Na Tra, Việt Nam, Tô Lâm, Đài Truyền hình Việt Nam, Chuyện người con gái Nam Xương, Tháng giêng, Hồ Chí Minh, Danh sách phim điện ảnh Việt Nam có doanh thu cao nhất.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(3.22+4.6+0+10+100)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
