Article "新春かくし芸大会" in Japanese Wikipedia has 31.6 points for quality (as of November 1, 2023). The article contains 16 references and 24 sections. The article also contains quality flaw template, which reduce quality score.
In October 2023 the article "新春かくし芸大会" was edited by 1 authors in Japanese Wikipedia and written by 1 authors in all languages.
Since the creation of article "新春かくし芸大会", its content was written by 111 registered users of Japanese Wikipedia and edited by 111 registered Wikipedia users in all languages.
The article is cited 1111 times in Japanese Wikipedia (8976th place) and cited 1111 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: #7937 01.2010 |
Global: #84485 01.2008 |
On 15 May 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Robert Fico, Slovakia, Yasuke, New Caledonia, YouTube, ChatGPT, Direction – Social Democracy, Planet of the Apes, deaths in 2024, Alice Munro.
In Japanese Wikipedia the most popular articles on that day were: キダ・タロー, 生田竜聖, 西元めいさ, 三淵嘉子, Aぇ! group, 秋元玲奈, 千堂あきほ, 中条比紗也, 木田美千代, 出口夏希.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(75.05+5.9+0+77.42+7.92)-1.66$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
