Chikeshan Black Tea - Honey Scented Black Tea, made in Mountain Chike, Yuli Township, Hualien, TAIWAN. Article "赤科山蜜香紅茶" in Chinese Wikipedia has 59.4 points for quality (as of August 1, 2024). The article contains 14 references and 11 sections.
Since the creation of article "赤科山蜜香紅茶", its content was written by 2 registered users of Chinese Wikipedia and edited by 2 registered Wikipedia users in all languages.
The article is cited 6 times in Chinese Wikipedia and cited 6 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 | Chinese: #103611 12.2021 |
Global: #1551581 12.2021 |
| Best Rank | Chinese: #8942 12.2018 |
Global: #469694 12.2018 |
On 7 February 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Elon Musk, Donald Trump, Bianca Censori, Kanye West, Cristiano Ronaldo, United States Agency for International Development, deaths in 2025, Karla Sofía Gascón, Benson Boone, Irv Gotti.
In Chinese Wikipedia the most popular articles on that day were: 徐熙媛, 具俊曄, 汪小菲, 徐熙娣, 五福临门 (电视剧), 外傷重症中心, 酷龍, 哪吒之魔童闹海, 2025年WTT新加坡大满贯, 张兰 (企业家).
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(20.3+14.14+100+91.67+70.83)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
