Article "KEIBA BEAT" in Japanese Wikipedia has 48.9 points for quality (as of August 1, 2024). The article contains 109 references and 38 sections. The article also contains quality flaw template, which reduce quality score.
In July 2024 the article "KEIBA BEAT" was edited by 1 authors in Japanese Wikipedia and written by 1 authors in all languages.
Since the creation of article "KEIBA BEAT", its content was written by 116 registered users of Japanese Wikipedia and edited by 116 registered Wikipedia users in all languages.
The article is cited 504 times in Japanese Wikipedia and cited 504 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: #6251 12.2009 |
Global: #80161 12.2009 |
On 20 December 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Magdeburg, Mufasa: The Lion King, Elon Musk, Mazan rape case, Gisèle Pelicot, Superman, Ayrton Senna, Isack Hadjar, deaths in 2024, David Corenswet.
In Japanese Wikipedia the most popular articles on that day were: ホーム・アローン2, マコーレー・カルキン, ホーム・アローン, 渡邉恒雄, マシロ, 坂東龍汰, 星野真里, 藤田真央, 松山千春, 冬至.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(79.96+40.67+0+100+50.96)-5.43$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
