Article "Phạm Đại Dương" in Vietnamese Wikipedia has 22.3 points for quality (as of August 1, 2024). The article contains 11 references and 7 sections.
Since the creation of article "Phạm Đại Dương", 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 92 times in Vietnamese Wikipedia and cited 92 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: #893 08.2020 |
Global: #268133 08.2020 |
| Best Rank | Vietnamese: #1445 03.2021 |
Global: #407429 03.2021 |
On 25 January 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Donald Trump, Madison Keys, Elon Musk, Aryna Sabalenka, Melania Trump, Emilia Pérez, Abdukodir Khusanov, Pete Hegseth, Nosferatu, Karla Sofía Gascón.
In Vietnamese Wikipedia the most popular articles on that day were: Đài Truyền hình Kỹ thuật số VTC, Nguyễn Thanh Nghị, Vũ Hồng Văn, Nguyễn Duy Ngọc, Nguyễn Hồng Lĩnh, Tô Lâm, Nguyễn Tấn Dũng, Chị đẹp đạp gió rẽ sóng (mùa 2), Nguyễn Văn Nên, Đài Truyền hình Việt Nam.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(12.87+6.32+9.09+35+48.24)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
