Kidō Senshi Gundam: Senjō no Kizuna II - 2021 video game. Article "機動戦士ガンダム 戦場の絆II" in Japanese Wikipedia has 20.3 points for quality (as of August 1, 2024). The article contains 14 references and 11 sections.
Since the creation of article "機動戦士ガンダム 戦場の絆II", its content was written by 18 registered users of Japanese Wikipedia and edited by 18 registered Wikipedia users in all languages.
The article is cited 577 times in Japanese Wikipedia and cited 577 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 | Japanese: #65935 12.2023 |
Global: #736905 12.2023 |
| Best Rank | Japanese: #3571 04.2022 |
Global: #153197 04.2022 |
On 3 November 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: 2024 United States presidential election, Kamala Harris, Donald Trump, 2024 Formula One World Championship, The Substance, Kemi Badenoch, deaths in 2024, Elon Musk, Venom: The Last Dance, Max Verstappen.
In Japanese Wikipedia the most popular articles on that day were: 三浦大輔, 横浜DeNAベイスターズ, 南場智子, 渡部篤郎, 竹内まりや, 藤原道長, 松村謙三 (実業家), 西田篤史, 三条天皇, ディー・エヌ・エー.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(10.35+5.22+0+35.48+50.58)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
