Article "Frog Entertainment Japan" in Japanese Wikipedia has 8.6 points for quality (as of August 1, 2024). The article contains 2 references and 3 sections. The article also contains quality flaw template, which reduce quality score.
Since the creation of article "Frog Entertainment Japan", its content was written by 18 registered users of Japanese Wikipedia and edited by 18 registered Wikipedia users in all languages.
The article is cited 3 times in Japanese Wikipedia and cited 3 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: #170878 10.2008 |
Global: #947458 10.2008 |
| Best Rank | Japanese: #7930 10.2006 |
Global: #164513 10.2006 |
On 7 February 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Elon Musk, Donald Trump, Bianca Censori, Kanye West, Cristiano Ronaldo, United States Agency for International Development, deaths in 2025, Karla Sofía Gascón, Benson Boone, Irv Gotti.
In Japanese Wikipedia the most popular articles on that day were: バック・トゥ・ザ・フューチャー, マイケル・J・フォックス, 堺正章, ガガガSP, 佐藤聖羅, 堺小春, クリストファー・ロイド, 岡田美里, ジェラードン, 北村一輝.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(2.28+0.75+0+9.68+32.78)-0.45$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
