Article "Bagnall fireless locomotives (preserved)" in English Wikipedia has 31.1 points for quality (as of August 1, 2024). The article contains 5 references and 9 sections.
Since the creation of article "Bagnall fireless locomotives (preserved)", its content was written by 20 registered users of English Wikipedia and edited by 20 registered Wikipedia users in all languages.
The article is cited 9 times in English Wikipedia and cited 9 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: #826122 09.2008 |
Global: #1364763 09.2008 |
| Best Rank | English: #181891 02.2010 |
Global: #448855 02.2010 |
On 19 November 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Mike Tyson, Elon Musk, MGM-140 ATACMS, Gladiator II, International Men's Day, 2024–25 UEFA Nations League, Donald Trump, Jake Paul, Jon Jones, deaths in 2024.
In English Wikipedia the most popular articles on that day were: Mehmet Oz, Sean Duffy, Gladiator II, Mike Tyson, 2024 United States presidential election, Matt Gaetz, Deaths in 2024, Elon Musk, Wicked (2024 film), Dune: Prophecy.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(13.7+4.1+42.86+64.29+30.79)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
