Article "徳光和夫の感動再会"逢いたい"" in Japanese Wikipedia has 17.3 points for quality (as of November 1, 2023). The article contains 11 references and 16 sections. The article also contains quality flaw template, which reduce quality score.
In October 2023 the article "徳光和夫の感動再会"逢いたい"" was edited by 1 authors in Japanese Wikipedia and written by 1 authors in all languages.
Since the creation of article "徳光和夫の感動再会"逢いたい"", its content was written by 85 registered users of Japanese Wikipedia and edited by 85 registered Wikipedia users in all languages.
The article is cited 510 times in Japanese Wikipedia and cited 510 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: #16816 02.2009 |
Global: #148300 02.2009 |
On 16 May 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Yasuke, New Caledonia, Slovakia, Robert Fico, Bridgerton, YouTube, ChatGPT, deaths in 2024, Planet of the Apes, May 16.
In Japanese Wikipedia the most popular articles on that day were: 飯豊まりえ, 高橋一生, 石丸伸二, キダ・タロー, 廣瀬智紀, 弥助, 三淵嘉子, 川栄李奈, 羽賀研二, 葛西美空.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(21.21+4.06+0+51.61+19.25)-1.92$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
