2021 Xinjiang cotton controversy - boycott in China over Xinjiang cotton statements. Article “2021年新疆棉花争议事件” in Chinese Wikipedia has 92.2 points for quality (as of July 1, 2025). The article contains 324 references and 23 sections.
In June 2025 the article “2021年新疆棉花争议事件” was edited by 2 authors in Chinese Wikipedia and written by 2 authors in all languages.
Since the creation of article “2021年新疆棉花争议事件”, its content was written by 136 registered users of Chinese Wikipedia (4756th place) and edited by 136 registered Wikipedia users in all languages.
The article is cited 43 times in Chinese Wikipedia and cited 43 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 | Chinese: #61 04.2021 |
Global: #8231 04.2021 |
On 27 November 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Stranger Things, Thanksgiving, Stranger Things, season 5, Millie Bobby Brown, Hong Kong, Guinea-Bissau, Zootopia 2, ChatGPT, Wang Fuk Court fire, deaths in 2025.
In Chinese Wikipedia the most popular articles on that day were: 宏福苑大火, 香港火災列表, 嘉利大廈大火, 徐勤先, 龍虎風雲, 感恩节, 上海“11·15”特别重大火灾, 嘉禾大廈大火, 廣福邨, 跑馬地馬場大火.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(100+100+100+100+61.12)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
