Article "Excerpta Valesiana II" in Latin Wikipedia has 5.5 points for quality (as of August 1, 2024). The article contains 0 references and 3 sections.
Since the creation of article "Excerpta Valesiana II", its content was written by 2 registered users of Latin Wikipedia and edited by 2 registered Wikipedia users in all languages.
Excerpta Valesiana II is on the 808th place in local ranking of books on Latin Wikipedia in all the time.
The article is cited 9 times in Latin 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 | Latin: #12566 05.2021 |
Global: #4376870 07.2008 |
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 Latin Wikipedia the most popular articles on that day were: wiki.phtml, Christophorus Hogwood, Secundum bellum mundanum, Lingua Latina, Antonius Novogardiensis, Pretium, Chisinovia, Functiones hyperbolicae, Civitates Foederatae Americae, Mathematica.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(6.07+0+0+21.43+0)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
