Article "M-1グランプリ2020" in Japanese Wikipedia has 36.3 points for quality (as of August 1, 2024). The article contains 57 references and 21 sections. The article also contains quality flaw template, which reduce quality score.
In July 2024 the article "M-1グランプリ2020" was edited by 1 authors in Japanese Wikipedia and written by 1 authors in all languages.
Since the creation of article "M-1グランプリ2020", its content was written by 52 registered users of Japanese Wikipedia and edited by 52 registered Wikipedia users in all languages.
The article is cited 432 times in Japanese Wikipedia and cited 432 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: #867 12.2021 |
Global: #31812 12.2021 |
On 5 January 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Squid Game, Squid Game, season 2, Avicii, Nosferatu, Epiphany, human metapneumovirus, Jimmy Carter, Elon Musk, Jeff Baena, Aubrey Plaza.
In Japanese Wikipedia the most popular articles on that day were: 蔦屋重三郎, Mrs. GREEN APPLE, べらぼう〜蔦重栄華乃夢噺〜, 大森元貴, 磯村勇斗, 横浜流星, 町田啓太, 徳川家重, ガッポリ建設, 愛希れいか.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(72.8+21.27+0+67.74+29.27)-1.91$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
