Rakuten Girls - Taiwanese cheerleaders. Article "樂天女孩" in Chinese Wikipedia has 69.9 points for quality (as of November 1, 2023). The article contains 92 references and 23 sections. The article also contains quality flaw template, which reduce quality score.
In October 2023 the article "樂天女孩" was edited by 8 authors in Chinese Wikipedia (754th place) and written by 8 authors in all languages.
Since the creation of article "樂天女孩", its content was written by 121 registered users of Chinese Wikipedia (5359th place) and edited by 121 registered Wikipedia users in all languages.
The article is cited 274 times in Chinese Wikipedia and cited 274 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: #173 04.2023 |
Global: #27047 12.2021 |
On 23 April 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: YouTube, Serie A, Shōgun, Fallout, Facebook, Fallout, Saint George, Saint George Day, Inter Milan, ChatGPT.
In Chinese Wikipedia the most popular articles on that day were: 淚之女王, 921大地震, 不夠善良的我們, 許美靜, 逆天奇案2, 金智媛, 2024年花蓮地震, 背着善宰跑, 破墓, 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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(100+93.88+66.67+100+50.65)-12.34$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
