This taxon is the 9826th most popular in the global Wikipedia ranking of taxon. Article “コチ” in Japanese Wikipedia has 15 points for quality (as of July 1, 2025). The article contains 3 references and 7 sections.
Since the creation of article “コチ”, its content was written by 15 registered users of Japanese Wikipedia and edited by 15 registered Wikipedia users in all languages.
コチ is on the 9826th place in global ranking of taxon on Wikipedia in all the time.
The article is cited 40 times in Japanese Wikipedia and cited 40 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 July 1, 2025 (including revision history and pageviews for previous years).
| Best Rank | Japanese: #17884 06.2018 |
Global: #198290 06.2015 |
| Best Rank | Japanese: #11384 06.2011 |
Global: #202575 09.2005 |
On 5 March 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: Iran, Ali Khamenei, 2026 Iran war, Jeffrey Epstein, Kurds, Strait of Hormuz, Yakovlev Yak-130, Donald Trump, Azerbaijan, Kristi Noem.
In Japanese Wikipedia the most popular articles on that day were: 勝呂誉, 小泉八雲, 大塚耕平, 中田璃士, 佐々木彩夏, スペースワン, 竹内涼真, カイロス (ロケット), ワールド・ベースボール・クラシック, ももいろクローバーZ.
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 July, 2025. When calculating current popularity and AI of articles data from June 2025 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2025... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(13.58+1.08+30+22.58+7.99)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
