Hokkaido Prefectural Road Route 723 - former road in Hokkaido Prefecture, Japan. Article "北海道道723号洞爺湖大滝線" in Japanese Wikipedia has 5.1 points for quality (as of August 1, 2024). The article contains 0 references and 6 sections. The article also contains quality flaw template, which reduce quality score.
Since the creation of article "北海道道723号洞爺湖大滝線", its content was written by 5 registered users of Japanese Wikipedia and edited by 5 registered Wikipedia users in all languages.
The article is cited 31 times in Japanese Wikipedia and cited 31 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: #397368 04.2008 |
Global: #2764593 02.2008 |
| Best Rank | Japanese: #70424 08.2015 |
Global: #1294954 05.2007 |
On 15 January 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Squid Game, Elon Musk, Squid Game, season 2, deaths in 2025, ChatGPT, Nosferatu, Donald Trump, Neil Gaiman, Pete Hegseth, Greenland.
In Japanese Wikipedia the most popular articles on that day were: 影山優佳, 前田佳織里, 中嶋優一, 松来未祐, 切り裂きジャック, 渡邊渚, 中居正広, 竹俣紅, 安堂ホセ, 片瀬那奈.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(2.49+0+5+19.35+0)-0.27$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
