Article "酒のツマミになる話" in Japanese Wikipedia has 21.1 points for quality (as of August 1, 2024). The article contains 13 references and 12 sections.
In July 2024 the article "酒のツマミになる話" was edited by 5 authors in Japanese Wikipedia (3365th place) and written by 5 authors in all languages.
Since the creation of article "酒のツマミになる話", its content was written by 40 registered users of Japanese Wikipedia and edited by 40 registered Wikipedia users in all languages.
The article is cited 463 times in Japanese Wikipedia and cited 463 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: #8684 02.2024 |
Global: #175062 02.2024 |
On 18 September 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: pager, Salvatore Schillaci, Hezbollah, UEFA Champions League, 2024–25 UEFA Champions League, 2024 Lebanon communication device explosions, Lyle and Erik Menéndez, Sean Combs, deaths in 2024, Shōgun.
In Japanese Wikipedia the most popular articles on that day were: 岩井良明, 栗原恵, 松村謙三 (実業家), 斎藤元彦, 真田広之, 秋信守, 知床遊覧船沈没事故, SHOGUN 将軍, 高市早苗, 積水ハウス地面師詐欺事件.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(53+4.85+0+38.71+9.17)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
