Article "John Douglass, 14. Laird of Tilquhillie" in German Wikipedia has 31.5 points for quality (as of August 1, 2024). The article contains 6 references and 4 sections.
Since the creation of article "John Douglass, 14. Laird of Tilquhillie", its content was written by 12 registered users of German Wikipedia and edited by 12 registered Wikipedia users in all languages.
The article is cited 14 times in German Wikipedia and cited 14 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 | German: #637895 08.2013 |
Global: #4729008 08.2013 |
| Best Rank | German: #22195 09.2018 |
Global: #333335 09.2018 |
On 3 October 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Lyle and Erik Menendez, Sean Combs, Joker: Folie à Deux, Israel, Jimmy Carter, Lebanon, Hezbollah, Marburg marburgvirus, Rosh Hashanah, Eminem.
In German Wikipedia the most popular articles on that day were: Katarina Witt, Marburg-Virus, Alfred Herrhausen, Tag der Deutschen Einheit, Jutta Müller (Eiskunstläuferin), Kamrad, Lyle und Erik Menendez, Richard Dean Anderson, Traudl Herrhausen, Titanic (Schiff).
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(8.25+8.7+21.43+19.05+100)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
