Article "マギアレコード 魔法少女まどか☆マギカ外伝のキャラクター一覧" in Japanese Wikipedia has 67.9 points for quality (as of August 1, 2024). The article contains 520 references and 21 sections.
In July 2024 the article "マギアレコード 魔法少女まどか☆マギカ外伝のキャラクター一覧" was edited by 1 authors in Japanese Wikipedia and written by 1 authors in all languages.
Since the creation of article "マギアレコード 魔法少女まどか☆マギカ外伝のキャラクター一覧", its content was written by 19 registered users of Japanese Wikipedia and edited by 19 registered Wikipedia users in all languages.
The article is cited 110 times in Japanese Wikipedia and cited 110 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 August 1, 2024 (including revision history and pageviews for previous years).
| Best Rank | Japanese: #18796 04.2022 |
Global: #258738 04.2022 |
On 8 July 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Diogo Jota, João Pedro, Ozzy Osbourne, Laura Siegemund, Aryna Sabalenka, Julian McMahon, Jurassic World Rebirth, 2025 FIFA Club World Cup, Amanda Anisimova, F1.
In Japanese Wikipedia the most popular articles on that day were: 遠野なぎこ, 神谷宗幣, ジャーメイン良, 秀和幡ヶ谷レジデンス, 参政党, 内田有紀, 鶴保庸介, 牛田茉友, 田久保眞紀, EAFF E-1サッカー選手権.
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 August, 2024. When calculating current popularity and AI of articles data from July 2024 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2023... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(100+100+0+67.74+71.68)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
