List of Perkins engines - Wikimedia list article. Article "List of Perkins engines" in English Wikipedia has 24.9 points for quality (as of August 1, 2024). The article contains 21 references and 3 sections.
Since the creation of article "List of Perkins engines", its content was written by 56 registered users of English Wikipedia and edited by 56 registered Wikipedia users in all languages.
The article is cited 19 times in English Wikipedia and cited 19 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: #131471 11.2017 |
Global: #233590 11.2017 |
| Best Rank | English: #48189 08.2005 |
Global: #128366 08.2005 |
On 2 March 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Volodymyr Zelenskyy, Elon Musk, Gene Hackman, 97th Academy Awards, Donald Trump, JD Vance, Bob Dylan, The Brutalist, Michelle Trachtenberg, Pope Francis.
In English Wikipedia the most popular articles on that day were: Elimination Chamber: Toronto, Gene Hackman, Angie Stone, Volodymyr Zelenskyy, Ruby Franke, Elon Musk, Gervonta Davis, 97th Academy Awards, Lamont Roach Jr., Michelle Trachtenberg.
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
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
