Article "Nguyễn Văn Lợi (Gia Định)" in Vietnamese Wikipedia has 23 points for quality (as of November 1, 2023). The article contains 7 references and 12 sections.
Since the creation of article "Nguyễn Văn Lợi (Gia Định)", its content was written by 20 registered users of Vietnamese Wikipedia and edited by 20 registered Wikipedia users in all languages.
The article is cited 99 times in Vietnamese Wikipedia and cited 99 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 November 1, 2023 (including revision history and pageviews for previous years).
| Best Rank | Vietnamese: #910 07.2021 |
Global: #245739 07.2021 |
On 27 July 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: 2024 Summer Olympics, Céline Dion, Olympic Games, Kamala Harris, stiff-person syndrome, Deadpool & Wolverine, 2020 Summer Olympics, Aya Nakamura, Lady Gaga, Marie Antoinette.
In Vietnamese Wikipedia the most popular articles on that day were: Nguyễn Phú Trọng, Ngô Thị Mân, Nông Đức Mạnh, Tô Lâm, Tổng Bí thư Ban Chấp hành Trung ương Đảng Cộng sản Việt Nam, Đài Truyền hình Kỹ thuật số VTC, Nguyễn Tấn Dũng, Lương Cường, Nguyễn Trọng Trường, Võ Nguyên Giáp.
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 November, 2023. When calculating current popularity and AI of articles data from October 2023 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2023... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(14.35+4.19+8.33+60+28.17)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
