Article "女番長 玉突き遊び" in Japanese Wikipedia has 7.3 points for quality (as of November 1, 2023). The article contains 2 references and 5 sections. The article also contains quality flaw template, which reduce quality score.
Since the creation of article "女番長 玉突き遊び", its content was written by 11 registered users of Japanese Wikipedia and edited by 11 registered Wikipedia users in all languages.
The article is cited 27 times in Japanese Wikipedia and cited 27 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: #159793 09.2023 |
Global: #1410489 09.2023 |
| Best Rank | Japanese: #11633 08.2017 |
Global: #463098 08.2017 |
On 2 July 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: UEFA Euro 2024, UEFA European Championship, Cristiano Ronaldo, Diogo Meireles da Costa, Merih Demiral, 2024 Copa América, Arda Güler, Turkey national association football team, Copa América, Inside Out 2.
In Japanese Wikipedia the most popular articles on that day were: 古川琴音, ヒコロヒー, 鬼滅の刃, 海のはじまり, 石丸伸二, 渋沢栄一, 高木聡一朗, 三淵嘉子, 森川智之, 北里柴三郎.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(4.22+0.74+0+16.13+17.59)-0.39$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
