Article "灵魂摆渡·南洋传说" in Chinese Wikipedia has 46.9 points for quality (as of November 1, 2023). The article contains 15 references and 14 sections. The article also contains quality flaw template, which reduce quality score.
In October 2023 the article "灵魂摆渡·南洋传说" was edited by 2 authors in Chinese Wikipedia and written by 2 authors in all languages.
Since the creation of article "灵魂摆渡·南洋传说", its content was written by 16 registered users of Chinese Wikipedia and edited by 16 registered Wikipedia users in all languages.
The article is cited 50 times in Chinese Wikipedia and cited 50 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 | Chinese: #285 09.2021 |
Global: #25359 09.2021 |
On 6 May 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Bernard Hill, YouTube, Eurovision Song Contest 2024, Lando Norris, Anne Hathaway, Facebook, Nicholas Galitzine, ChatGPT, The Idea of You, deaths in 2024.
In Chinese Wikipedia the most popular articles on that day were: 九龍城寨之圍城, 胖猫跳江事件, Energy (組合), 淚之女王, 背着善宰跑, 逆天奇案2, 金智媛, 习近平, 郭葦昀, 金秀賢 (男演員).
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(100+15.31+16.67+100+14.74)-2.47$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
