This software is the 9833rd most popular in the global Wikipedia ranking of software. Article “SReader” in Japanese Wikipedia has 4.6 points for quality (as of July 1, 2025). The article contains 0 references and 5 sections. The article also contains templates indicating quality issues, therefore its score was reduced by 0.24 points.
Since the creation of article “SReader”, its content was written by 5 registered users of Japanese Wikipedia and edited by 5 registered Wikipedia users in all languages.
SReader is on the 9833rd place in global ranking of software on Wikipedia in all the time.
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: #293217 02.2012 |
Global: #2147130 02.2012 |
On 21 December 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Jeffrey Epstein, Anthony Joshua, James Ransone, Avatar: Fire and Ash, Jake Paul, Wake Up Dead Man, Stranger Things, Ghislaine Maxwell, Avatar, Avatar: The Way of Water.
In Japanese Wikipedia the most popular articles on that day were: たくろう, ドンデコルテ, M-1グランプリ, エバース (お笑いコンビ), カナメストーン, 冨永愛, 真空ジェシカ, M-1グランプリ2025, めぞん (お笑いコンビ), ヨネダ2000.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(2.88+0+5+16.13+0)-0.24$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
