Article "Danh sách quốc gia theo GDP (PPP) năm 2008" in Vietnamese Wikipedia has 4.9 points for quality (as of August 1, 2024).
Since the creation of article "Danh sách quốc gia theo GDP (PPP) năm 2008", its content was written by 16 registered users of Vietnamese Wikipedia and edited by 16 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: #2739 10.2009 |
Global: #771683 10.2009 |
| Best Rank | Vietnamese: #3116 08.2010 |
Global: #552515 08.2010 |
On 26 October 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Ilia Topuria, Lyle and Erik Menendez, Hansi Flick, Venom: The Last Dance, El Clásico, 2024 United States presidential election, Khamzat Chimaev, BRICS, Max Holloway, Shohei Ohtani.
In Vietnamese Wikipedia the most popular articles on that day were: Đài Truyền hình Kỹ thuật số VTC, Trần Cẩm Tú, Lương Cường, Vũ Đại Thắng, Bùi Văn Cường, Nguyễn Doãn Anh, Hoa hậu Hòa bình Quốc tế 2024, Chị đẹp đạp gió rẽ sóng (mùa 2), Việt Nam, Thái Thanh Quý.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(15.2+0.57+0+5+3.71)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
