WebGain - software developer. Article "WebGain公司" in Chinese Wikipedia has 1.9 points for quality (as of August 1, 2024). The article also contains quality flaw template, which reduce quality score.
In July 2024 the article "WebGain公司" was edited by 1 authors in Chinese Wikipedia and written by 1 authors in all languages.
Since the creation of article "WebGain公司", its content was written by 7 registered users of Chinese Wikipedia and edited by 7 registered Wikipedia users in all languages.
The article is cited 4 times in Chinese Wikipedia and cited 4 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 | Chinese: #127137 07.2008 |
Global: #3299046 04.2008 |
| Best Rank | Chinese: #9262 06.2024 |
Global: #901470 06.2024 |
On 18 September 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: pager, Salvatore Schillaci, Hezbollah, UEFA Champions League, 2024–25 UEFA Champions League, 2024 Lebanon communication device explosions, Lyle and Erik Menéndez, Sean Combs, deaths in 2024, Shōgun.
In Chinese Wikipedia the most popular articles on that day were: 許家蓓, 九一八事變, 石班瑜, 宋彬彬, 企業強人, 2024年中國羽毛球公開賽, 中秋节, 真主党, 聯合國大會第2758號決議, 傳呼機.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(1.89+0+0+8.33+0)-0.1$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
