Article "Ksor H’Bơ Khăp" in Vietnamese Wikipedia has 20.5 points for quality (as of November 1, 2023). The article contains 11 references and 8 sections.
In October 2023 the article "Ksor H’Bơ Khăp" was edited by 1 authors in Vietnamese Wikipedia and written by 1 authors in all languages.
Since the creation of article "Ksor H’Bơ Khăp", its content was written by 23 registered users of Vietnamese Wikipedia and edited by 23 registered Wikipedia users in all languages.
The article is cited 8 times in Vietnamese Wikipedia and cited 8 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: #10 11.2020 |
Global: #16573 11.2020 |
On 14 April 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Iran, Bayer 04 Leverkusen, Israel, Fallout, Iron Dome, Xabi Alonso, Max Holloway, Fallout, YouTube, Bundesliga.
In Vietnamese Wikipedia the most popular articles on that day were: Đài Truyền hình Kỹ thuật số VTC, Trương Mỹ Lan, Đài Truyền hình Việt Nam, Israel, Iran, Chiến dịch Điện Biên Phủ, Facebook, Hai Bà Trưng, Việt Nam, Google Dịch.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(15.86+6.59+0+40+40.04)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
