On Marriage - 2022 Taiwan PTS TV drama. Article "你的婚姻不是你的婚姻" in Chinese Wikipedia has 26.4 points for quality (as of November 1, 2023). The article contains 3 references and 11 sections.
In October 2023 the article "你的婚姻不是你的婚姻" was edited by 4 authors in Chinese Wikipedia (4299th place) and written by 4 authors in all languages.
Since the creation of article "你的婚姻不是你的婚姻", its content was written by 11 registered users of Chinese Wikipedia and edited by 11 registered Wikipedia users in all languages.
The article is cited 149 times in Chinese Wikipedia and cited 149 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 | Chinese: #90 12.2022 |
Global: #11558 12.2022 |
On 4 June 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Kylian Mbappé, Claudia Sheinbaum, ChatGPT, 1989 Tiananmen Square protests and massacre, Jannik Sinner, YouTube, UEFA Euro 2024, June 4, Carlos Alcaraz, Real Madrid CF.
In Chinese Wikipedia the most popular articles on that day were: 六四事件, 黃仁勳, 唐治平, 蘇姿丰, 墨雨云间, 家族榮耀之繼承者, 庆余年 (第二季), 英伟达, 繁花 (電視劇), 庆余年.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(25.11+3.06+0+91.67+12.36)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
