Destiny Unchain Online: After Becoming a Vampire Girl, I Eventually Became Known as "Crimson Demon King" - Japnese novel. Article “Destiny Unchain Online ~在遊戲裡化身吸血鬼少女，獲得『赤紅魔王』稱號~” in Chinese Wikipedia has 41.8 points for quality (as of July 1, 2025). The article contains 17 references and 11 sections.
Since the creation of article “Destiny Unchain Online ~在遊戲裡化身吸血鬼少女，獲得『赤紅魔王』稱號~”, 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 2 times in Chinese Wikipedia and cited 2 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: #126004 10.2024 |
Global: #2017739 10.2024 |
| Best Rank | Chinese: #89910 12.2024 |
Global: #2537396 02.2025 |
On 9 December 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Stranger Things, 2026 FIFA World Cup, Lando Norris, Millie Bobby Brown, Sean Combs, It: Welcome to Derry, ChatGPT, Zootopia 2, deaths in 2025, Cassie Ventura.
In Chinese Wikipedia the most popular articles on that day were: 越南屠夫事件, CORTIS, 方國珊, 白天辉, 习近平, 認罪之罪, 王洪文, 動物方城市2, 趙雨凡, 宏福苑大火.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(48.26+16.83+16.67+91.67+35.7)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
