Article "山梨県庁舎別館 (旧本館) 及び県議会議事堂" in Japanese Wikipedia has 50.6 points for quality (as of November 1, 2023). The article contains 74 references and 14 sections.
In October 2023 the article "山梨県庁舎別館 (旧本館) 及び県議会議事堂" was edited by 1 authors in Japanese Wikipedia and written by 1 authors in all languages.
Since the creation of article "山梨県庁舎別館 (旧本館) 及び県議会議事堂", its content was written by 19 registered users of Japanese Wikipedia and edited by 19 registered Wikipedia users in all languages.
The article is cited 106 times in Japanese Wikipedia and cited 106 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: #88715 07.2017 |
Global: #669590 07.2017 |
On 25 June 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: UEFA Euro 2024, Julian Assange, UEFA European Championship, UEFA Euro 2020, Shifty Shellshock, 2024 Copa América, WikiLeaks, YouTube, Inside Out 2, House of the Dragon.
In Japanese Wikipedia the most popular articles on that day were: O・J・シンプソン事件, O・J・シンプソン, 西野カナ, 若葉竜也, 石丸伸二, 北川健太郎, 水沢アキ, 間島淳司, 石田ひかり, 堀家一希.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(25.39+27.31+55+45.16+100)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
