Maren Urner - German neuroscientist and author. Article "Maren Urner" in German Wikipedia has 33.2 points for quality (as of November 1, 2023). The article contains 11 references and 6 sections.
Since the creation of article "Maren Urner", its content was written by 21 registered users of German Wikipedia and edited by 21 registered Wikipedia users in all languages.
The article is cited 10 times in German Wikipedia and cited 10 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: #1547 05.2022 |
Global: #73226 05.2022 |
| Best Rank | German: #8034 10.2019 |
Global: #176618 10.2019 |
On 14 April 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Iran, Bayer 04 Leverkusen, Israel, Fallout, Iron Dome, Xabi Alonso, Max Holloway, Fallout, YouTube, Bundesliga.
In German Wikipedia the most popular articles on that day were: Bayer 04 Leverkusen, Iran, Xabi Alonso, Fallout (Fernsehserie), Israel, Leverkusen, The Lost City – Das Geheimnis der verlorenen Stadt, Perfect World, Liste der größten Auslegerbrücken, Florian Wirtz.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(16.85+16.42+7.14+28.57+96.94)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
