To Be… - 2015 EP by Nicholas Teo. Article "怎樣的張棟樑" in Chinese Wikipedia has 7.3 points for quality (as of August 1, 2024). The article contains 0 references and 2 sections. The article also contains quality flaw template, which reduce quality score.
Since the creation of article "怎樣的張棟樑", its content was written by 5 registered users of Chinese Wikipedia and edited by 5 registered Wikipedia users in all languages.
The article is cited 17 times in Chinese Wikipedia and cited 17 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 | Chinese: #128161 12.2015 |
Global: #2551436 12.2015 |
| Best Rank | Chinese: #4765 12.2015 |
Global: #306441 12.2015 |
On 1 February 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Donald Trump, Marianne Faithfull, O. J. Simpson, Neymar, Israel Adesanya, Nassourdine Imavov, Royal Rumble (2025): The Death of Professional Wrestling, Elon Musk, Karla Sofía Gascón, Emilia Pérez.
In Chinese Wikipedia the most popular articles on that day were: 外傷重症中心, 封神第二部：战火西岐, 封神第一部：朝歌风云, 维基百科, 五福临门 (电视剧), 国色芳华, 深度求索, 大奉打更人, 誤判 (電影), 射龍門 (撲克遊戲).
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(5.13+0+16.67+16.67+0)-0.38$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
