Vagra - town in Gujarat state, India. Article "Vagra" in Simple English Wikipedia has 13.6 points for quality (as of November 1, 2023).
Since the creation of article "Vagra", its content was written by 4 registered users of Simple English Wikipedia and edited by 4 registered Wikipedia users in all languages.
The article is cited 1 times in Simple English Wikipedia and cited 1 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 November 1, 2023 (including revision history and pageviews for previous years).
| Best Rank | Simple English: #26307 04.2020 |
Global: #5664544 04.2020 |
On 25 June 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: UEFA Euro 2024, Julian Assange, UEFA European Championship, UEFA Euro 2020, Shifty Shellshock, 2024 Copa América, WikiLeaks, YouTube, Inside Out 2, House of the Dragon.
In Simple English Wikipedia the most popular articles on that day were: XXXTentacion, List of UEFA European Championship finals, Black, List of U.S. states, List of people who have walked on the Moon, List of U.S. states and territories by time zone, 24-hour clock, List of Stanley Cup champions, Gareth Southgate, Tom Kaulitz.
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 November, 2023. When calculating current popularity and AI of articles data from October 2023 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2023... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(3.15+1.69+0+7.69+55.66)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
