Article “青が散る” in Japanese Wikipedia has 20.1 points for quality (as of July 1, 2025). The article contains 19 references and 14 sections. The article also contains templates indicating quality issues, therefore its score was reduced by 1.06 points.
Since the creation of article “青が散る”, its content was written by 50 registered users of Japanese Wikipedia and edited by 50 registered Wikipedia users in all languages.
The article is cited 98 times in Japanese Wikipedia and cited 98 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 July 1, 2025 (including revision history and pageviews for previous years).
| Best Rank | Japanese: #9132 09.2020 |
Global: #142118 09.2020 |
| Best Rank | Japanese: #8189 02.2010 |
Global: #254888 06.2005 |
On 15 February 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: Jeffrey Epstein, Wuthering Heights, 2026 Winter Olympics, Epstein files, Ilia Malinin, Wuthering Heights, Ghislaine Maxwell, Lucas Pinheiro Braathen, 2026 Winter Olympics medal table, Valentine's Day.
In Japanese Wikipedia the most popular articles on that day were: 黒岩里奈, 堀島行真, 安野貴博, 竹内涼真, 教場 (テレビドラマ), 平野歩夢, 三浦璃来, 木原龍一, 吉村紗也香, 髙木美帆.
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 July, 2025. When calculating current popularity and AI of articles data from June 2025 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2025... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(21.38+6.86+0+45.16+32.13)-1.06$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
