Article "Student Non-Discrimination Act" in English Wikipedia has 28.6 points for quality (as of August 1, 2024). The article contains 14 references and 3 sections.
Since the creation of article "Student Non-Discrimination Act", its content was written by 13 registered users of English Wikipedia and edited by 13 registered Wikipedia users in all languages.
The article is cited 27 times in English Wikipedia and cited 27 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 | English: #549176 04.2013 |
Global: #933204 04.2013 |
| Best Rank | English: #276623 05.2022 |
Global: #752111 05.2022 |
On 20 February 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Pope Francis, Elon Musk, Donald Trump, Zero Day, 2024–25 UEFA Champions League, killing of Gabby Petito, Kylian Mbappé, UEFA Champions League, ChatGPT, Volodymyr Zelenskyy.
In English Wikipedia the most popular articles on that day were: Rekha Gupta, Chhava, Kash Patel, Sambhaji, Elon Musk, Killing of Gabby Petito, Zero Day (TV series), Belle Gibson, Captain America: Brave New World, ICC Champions Trophy.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(12.07+11.48+0+21.43+97.86)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
