Sakura - overnight train service in Japan. Article "さくら (列車)" in Japanese Wikipedia has 29.1 points for quality (as of November 1, 2023). The article contains 12 references and 11 sections.
In October 2023 the article "さくら (列車)" was edited by 2 authors in Japanese Wikipedia and written by 2 authors in all languages.
Since the creation of article "さくら (列車)", its content was written by 114 registered users of Japanese Wikipedia and edited by 114 registered Wikipedia users in all languages.
The article is cited 143 times in Japanese Wikipedia and cited 143 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: #1787 03.2011 |
Global: #40725 03.2011 |
On 22 May 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Ademola Lookman, Atalanta BC, Toni Kroos, Gian Piero Gasperini, Bayer 04 Leverkusen, international recognition of the State of Palestine, UEFA Europa League, Ebrahim Raisi, State of Palestine, YouTube.
In Japanese Wikipedia the most popular articles on that day were: 中尾彬, 古谷徹, 池波志乃, 袴田事件, 光原エミカ, 江守徹, 小山茉美, 林田理沙, 袴田巌, 井上和彦 (声優).
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(57.89+4.43+40+35.48+7.7)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
