Low na Imouto ni Succubus ga Toritsuita node Tanetsuke Yoyuu deshita. - Japanese adult visual novel. Article “欧尼酱有义务对被魅魔的妹妹负责” in Chinese Wikipedia has 49.7 points for quality (as of July 1, 2025). The article contains 35 references and 8 sections.
Since the creation of article “欧尼酱有义务对被魅魔的妹妹负责”, its content was written by 5 registered users of Chinese Wikipedia and edited by 5 registered Wikipedia users in all languages.
The article is cited 1 times in Chinese Wikipedia and cited 1 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: #129579 08.2021 |
Global: #1891942 08.2021 |
| Best Rank | Chinese: #28451 10.2021 |
Global: #1002854 07.2022 |
On 26 September 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Claudia Cardinale, One Battle After Another, ChatGPT, Alice in Borderland, Guinness, deaths in 2025, Benjamin Netanyahu, Assata Shakur, Charlie Kirk, Arthur Guinness.
In Chinese Wikipedia the most popular articles on that day were: 于朦胧, 今際之國的闖關者 (電視劇), 堰塞湖, BOYS II PLANET, 暴君的廚師, 鏈鋸人, 宋伊人, 颱風樺加沙, 馬太鞍溪堰塞湖溢流, 傅崐萁.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(30.4+34.65+16.67+66.67+100)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
