Article "古德明" in Chinese Wikipedia has 40.5 points for quality (as of November 1, 2023). The article contains 19 references and 16 sections. The article also contains quality flaw template, which reduce quality score.
In October 2023 the article "古德明" was edited by 1 authors in Chinese Wikipedia and written by 1 authors in all languages.
Since the creation of article "古德明", its content was written by 28 registered users of Chinese Wikipedia and edited by 28 registered Wikipedia users in all languages.
The article is cited 22 times in Chinese Wikipedia and cited 22 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: #5404 04.2011 |
Global: #343875 08.2017 |
On 19 June 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: UEFA Euro 2024, UEFA European Championship, Xherdan Shaqiri, Jamal Musiala, Cristiano Ronaldo, Albania, UEFA Euro 2020, İlkay Gündoğan, Inside Out 2, Juneteenth.
In Chinese Wikipedia the most popular articles on that day were: 墨雨云间, 玫瑰的故事 (电视剧), 六月节, 余琦 (亚太空间合作组织), 2024年歐洲足球錦標賽, 亚太空间合作组织, 腦筋急轉彎2, 王柏傑, 陳妍希, 家族榮耀之繼承者.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(31.68+19.39+0+100+62.06)-2.13$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
