Article "香港校服" in Chinese Wikipedia has 25.1 points for quality (as of August 1, 2024). The article contains 4 references and 8 sections. The article also contains quality flaw template, which reduce quality score.
Since the creation of article "香港校服", 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 7 times in Chinese Wikipedia and cited 7 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: #73843 11.2011 |
Global: #1539287 11.2021 |
| Best Rank | Chinese: #16416 11.2020 |
Global: #872156 10.2011 |
On 6 November 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Donald Trump, 2024 United States presidential election, Kamala Harris, 2020 United States presidential election, United States Electoral College, President of the United States, 2016 United States presidential election, Melania Trump, list of presidents of the United States, Joe Biden.
In Chinese Wikipedia the most popular articles on that day were: 2024年美國總統選舉, 唐納·川普, 2020年美國總統選舉, 搖擺州, 賀錦麗, 2016年美國總統選舉, 美国总统, 美国总统列表, 選舉人團 (美國), 紅州與藍州.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(13.59+4.04+33.33+66.67+30.23)-4.44$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
