Article “南部县“6·5”全国高考试卷被盗案” in Chinese Wikipedia has 36.1 points for quality (as of July 1, 2025). The article contains 23 references and 7 sections.
In June 2025 the article “南部县“6·5”全国高考试卷被盗案” was edited by 3 authors in Chinese Wikipedia (5537th place) and written by 3 authors in all languages.
Since the creation of article “南部县“6·5”全国高考试卷被盗案”, its content was written by 23 registered users of Chinese Wikipedia and edited by 23 registered Wikipedia users in all languages.
The article is cited 7 times in Chinese Wikipedia and cited 7 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: #23387 07.2020 |
Global: #587490 07.2020 |
On 13 October 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Diane Keaton, Ed Gein, 2026 FIFA World Cup qualification, 2026 FIFA World Cup, 2026 FIFA World Cup qualification (UEFA), Ian Watkins, 2026 FIFA World Cup qualification (CAF), Ilse Koch, Donald Trump, ChatGPT.
In Chinese Wikipedia the most popular articles on that day were: 回魂計, 许我耀眼, 賴清德, 特朗普總是臨陣退縮, 成人史迪爾氏病, 徐浩 (歌手), 曾樂彤, 刍狗之血, 于朦胧, 于朦朧墜樓案.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(61.39+22.77+0+58.33+37.97)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
