Black-red-gold flag of Germany - national colours of Germany 1848, 1919-1933 and 1949-. Article "Schwarz-Rot-Gold" in German Wikipedia has 88 points for quality (as of November 1, 2023). The article contains 55 references and 22 sections.
Since the creation of article "Schwarz-Rot-Gold", its content was written by 397 registered users of German Wikipedia (3399th place) and edited by 397 registered Wikipedia users in all languages.
The article is cited 350 times in German Wikipedia and cited 350 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 November 1, 2023 (including revision history and pageviews for previous years).
| Best Rank | German: #464 06.2008 |
Global: #21342 06.2008 |
On 23 April 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: YouTube, Serie A, Shōgun, Fallout, Facebook, Fallout, Saint George, Saint George Day, Inter Milan, ChatGPT.
In German Wikipedia the most popular articles on that day were: Eva Briegel, Emilio Sakraya, Maximilian Krah, Victoria (Vereinigtes Königreich), Juli (Band), Boris Pistorius, Anne Brorhilker, Liste der größten Auslegerbrücken, Eisenbahnunfall von Bellinzona, Phantomtor.
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 November, 2023. When calculating current popularity and AI of articles data from October 2023 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2023... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(100+82.09+100+100+57.94)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
