Article "Kán Ngô͘" in Min Nan Wikipedia has 2.8 points for quality (as of November 1, 2023).
In October 2023 the article "Kán Ngô͘" was edited by 1 authors in Min Nan Wikipedia (783rd place) and written by 1 authors in all languages.
Since the creation of article "Kán Ngô͘", its content was written by 2 registered users of Min Nan Wikipedia and edited by 2 registered Wikipedia users in all languages.
The article is cited 1 times in Min Nan Wikipedia and cited 1 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 | Min Nan: #6408 07.2011 |
Global: #7292266 07.2011 |
On 11 June 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: UEFA Euro 2024, ChatGPT, 2026 FIFA World Cup qualification (AFC), Cristiano Ronaldo, YouTube, UEFA European Championship, deaths in 2024, Malawi, 2024 European Athletics Championships, Hunter Biden.
In Min Nan Wikipedia the most popular articles on that day were: Carles Puigdemont, Wikipedia, Tē-jī-chhù Sè-kài Tāi-chiàn, Medan Chhī, Lviv Chiu, Bân-lâm-gú, Kissikátor, Edgeworth (Pennsylvania), HTML, MediaWiki.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(3.8+0+0+10+0)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
