Article "Old Thresher's Reunion" in English Wikipedia has 37.1 points for quality (as of August 1, 2024). The article contains 17 references and 5 sections.
Since the creation of article "Old Thresher's Reunion", its content was written by 24 registered users of English Wikipedia and edited by 24 registered Wikipedia users in all languages.
The article is cited 11 times in English Wikipedia and cited 11 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: #696980 09.2016 |
Global: #1170199 09.2016 |
| Best Rank | English: #156260 07.2011 |
Global: #441366 08.2009 |
On 26 December 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Squid Game, Boxing Day, 2004 Indian Ocean earthquake, Squid Game, season 2, Hanukkah, Azerbaijan Airlines Flight 8243, Empress Elisabeth of Austria, Nosferatu, Mufasa: The Lion King, Gladiator II.
In English Wikipedia the most popular articles on that day were: Manmohan Singh, Squid Game season 2, Boxing Day, Nosferatu (2024 film), Pushpa 2: The Rule, Baby John (film), Squid Game, Sam Konstas, Azerbaijan Airlines Flight 8243, Gavin & Stacey.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(15.71+13.93+28.57+35.71+91.34)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
