Article “In Licinium Macrum” in Italian Wikipedia has 16.3 points for quality (as of July 1, 2025). The article contains 3 references and 2 sections.
Since the creation of article “In Licinium Macrum”, its content was written by 6 registered users of Italian Wikipedia and edited by 6 registered Wikipedia users in all languages.
The article is cited 4 times in Italian Wikipedia and cited 4 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 July 1, 2025 (including revision history and pageviews for previous years).
| Best Rank | Italian: #356025 07.2010 |
Global: #4373499 11.2009 |
| Best Rank | Italian: #86380 12.2019 |
Global: #1509757 10.2009 |
On 5 March 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: Iran, Ali Khamenei, 2026 Iran war, Jeffrey Epstein, Kurds, Strait of Hormuz, Yakovlev Yak-130, Donald Trump, Azerbaijan, Kristi Noem.
In Italian Wikipedia the most popular articles on that day were: Basi militari statunitensi in Italia, Sal Da Vinci, Budorcas taxicolor, Iran, Ditonellapiaga, Samurai Jay, Festival di Sanremo 2026, Luigi XVI di Francia, Episodi di Mare fuori (sesta stagione), Henry John Woodcock.
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 July, 2025. When calculating current popularity and AI of articles data from June 2025 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2025... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(2.54+1.78+0+8.7+68.71)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
