Article “ABU Robocon 2017” in Vietnamese Wikipedia has 16.9 points for quality (as of July 1, 2025). The article contains 1 references and 10 sections.
Since the creation of article “ABU Robocon 2017”, its content was written by 15 registered users of Vietnamese Wikipedia and edited by 15 registered Wikipedia users in all languages.
The article is cited 22 times in Vietnamese Wikipedia and cited 22 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 July 1, 2025 (including revision history and pageviews for previous years).
| Best Rank | Vietnamese: #12468 08.2017 |
Global: #1459239 08.2017 |
On 15 February 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: Jeffrey Epstein, Wuthering Heights, 2026 Winter Olympics, Epstein files, Ilia Malinin, Wuthering Heights, Ghislaine Maxwell, Lucas Pinheiro Braathen, 2026 Winter Olympics medal table, Valentine's Day.
In Vietnamese Wikipedia the most popular articles on that day were: Đài Truyền hình Kỹ thuật số VTC, Hồ sơ Epstein, Jeffrey Epstein, Ngày Valentine, Xì dách, Vụ giết người và phân xác ở Lạng Sơn 2025, Tết Nguyên Đán, Đài Truyền hình Việt Nam, Việt Nam, Lê Minh Hưng.
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 July, 2025. When calculating current popularity and AI of articles data from June 2025 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2025... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(10.72+0.56+18.18+50+5.12)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
