Article "行政院功能業務與組織調整" in Chinese Wikipedia has 61.1 points for quality (as of November 1, 2023). The article contains 56 references and 28 sections.
In October 2023 the article "行政院功能業務與組織調整" was edited by 2 authors in Chinese Wikipedia and written by 2 authors in all languages.
Since the creation of article "行政院功能業務與組織調整", its content was written by 89 registered users of Chinese Wikipedia and edited by 89 registered Wikipedia users in all languages.
The article is cited 171 times in Chinese Wikipedia and cited 171 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: #4511 01.2012 |
Global: #349847 01.2012 |
On 11 June 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: UEFA Euro 2024, ChatGPT, 2026 FIFA World Cup qualification (AFC), Cristiano Ronaldo, YouTube, UEFA European Championship, deaths in 2024, Malawi, 2024 European Athletics Championships, Hunter Biden.
In Chinese Wikipedia the most popular articles on that day were: 墨雨云间, 玫瑰的故事 (电视剧), 2026年國際足協世界盃外圍賽 (亞洲區), Hierarchy (电视剧), 謝京穎, 黃仁勳, 家族榮耀之繼承者, 九龍城寨·圍城, 張書偉, 背着善宰跑.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(100+57.14+0+100+48.43)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
