Article "SPYGEA" in Japanese Wikipedia has 73.2 points for quality (as of November 1, 2023). The article contains 330 references and 35 sections. The article also contains quality flaw template, which reduce quality score.
In October 2023 the article "SPYGEA" was edited by 1 authors in Japanese Wikipedia and written by 1 authors in all languages.
Since the creation of article "SPYGEA", its content was written by 31 registered users of Japanese Wikipedia and edited by 31 registered Wikipedia users in all languages.
The article is cited 16 times in Japanese Wikipedia and cited 16 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 November 1, 2023 (including revision history and pageviews for previous years).
| Best Rank | Japanese: #7243 04.2021 |
Global: #137686 04.2021 |
On 6 May 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Bernard Hill, YouTube, Eurovision Song Contest 2024, Lando Norris, Anne Hathaway, Facebook, Nicholas Galitzine, ChatGPT, The Idea of You, deaths in 2024.
In Japanese Wikipedia the most popular articles on that day were: 井上尚弥, ルイス・ネリ, 武居由樹, ボクシング現王者一覧, 寿美花代, 高島忠夫, 井上拓真, ジェイソン・モロニー, ユーリ阿久井政悟, 石田匠.
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 November, 2023. When calculating current popularity and AI of articles data from October 2023 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2023... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(85.51+100+0+100+100)-3.86$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
