Article "平成24年度全国高等学校総合体育大会" in Japanese Wikipedia has 14.4 points for quality (as of August 1, 2024). The article contains 9 references and 11 sections. The article also contains quality flaw template, which reduce quality score.
Since the creation of article "平成24年度全国高等学校総合体育大会", its content was written by 12 registered users of Japanese Wikipedia and edited by 12 registered Wikipedia users in all languages.
The article is cited 74 times in Japanese Wikipedia and cited 74 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: #36030 06.2012 |
Global: #299394 06.2012 |
| Best Rank | Japanese: #12893 11.2022 |
Global: #482472 11.2022 |
On 6 April 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Adolescence, Val Kilmer, A Minecraft Movie, Alexander Ovechkin, Donald Trump, 2025 Formula One World Championship, Wayne Gretzky, deaths in 2025, The White Lotus, 1923.
In Japanese Wikipedia the most popular articles on that day were: 清原果耶, 名古屋アベック殺人事件, 吉田鋼太郎, 鈴木一真, やなせたかし, フジテレビのアナウンサー一覧, HANA (ガールズグループ), 渡邊渚, ウィッチウォッチ, 九龍ジェネリックロマンス.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(16.9+3.36+0+35.48+19.91)-0.76$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
