Article "かつみ♥さゆり" in Japanese Wikipedia has 27.1 points for quality (as of November 1, 2023). The article contains 26 references and 20 sections. The article also contains quality flaw template, which reduce quality score.
In October 2023 the article "かつみ♥さゆり" was edited by 2 authors in Japanese Wikipedia and written by 2 authors in all languages.
Since the creation of article "かつみ♥さゆり", its content was written by 130 registered users of Japanese Wikipedia and edited by 130 registered Wikipedia users in all languages.
The article is cited 226 times in Japanese Wikipedia and cited 226 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: #91 06.2016 |
Global: #4632 07.2015 |
On 4 June 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Kylian Mbappé, Claudia Sheinbaum, ChatGPT, 1989 Tiananmen Square protests and massacre, Jannik Sinner, YouTube, UEFA Euro 2024, June 4, Carlos Alcaraz, Real Madrid CF.
In Japanese Wikipedia the most popular articles on that day were: 六四天安門事件, 巻島直樹, 増山江威子, 近藤芳正, 唐牛健太郎, HY (バンド), 彬子女王, 先天盲からの回復, 笹生優花, 南波雅俊.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(24.95+9.59+5+64.52+38.69)-1.43$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
