This software is the 8418th most popular in the global Wikipedia ranking of software. Article "AIRNovel" in Japanese Wikipedia has 0.9 points for quality (as of August 1, 2024).
Since the creation of article "AIRNovel", its content was written by 7 registered users of Japanese Wikipedia and edited by 7 registered Wikipedia users in all languages.
AIRNovel is on the 8418th place in global ranking of software on Wikipedia in all the time.
The article is cited 61 times in Japanese Wikipedia and cited 61 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: #305124 02.2014 |
Global: #2433195 02.2014 |
| Best Rank | Japanese: #16675 01.2013 |
Global: #625402 01.2013 |
On 10 October 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Han Kang, Lyle and Erik Menendez, Rafael Nadal, Sean Combs, George Baldock, Ratan Tata, Hurricane Katrina, Hurricane Milton, Joker: Folie à Deux, Ethel Skakel Kennedy.
In Japanese Wikipedia the most popular articles on that day were: 塩野瑛久, 藤田菜七子, 上杉美浩, 韓江 (小説家), 杉田水脈, 内野聖陽, 赤西仁, GLAY, 松村謙三 (実業家), 斉藤慎二.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(1.49+0+0+3.23+0)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
