Article “Black Betty (Ram Jam)” in Italian Wikipedia has 26.2 points for quality (as of July 1, 2025). The article contains 10 references and 5 sections.
In June 2025 the article “Black Betty (Ram Jam)” was edited by 1 authors in Italian Wikipedia
Since the creation of article “Black Betty (Ram Jam)”, its content was written by 6 registered users of Italian Wikipedia.
The article is cited 14 times in Italian Wikipedia.
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: #176101 11.2023 |
| Best Rank | Italian: #42239 09.2022 |
On 15 February 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: Jeffrey Epstein, Wuthering Heights, 2026 Winter Olympics, Epstein files, Ilia Malinin, Wuthering Heights, Ghislaine Maxwell, Lucas Pinheiro Braathen, 2026 Winter Olympics medal table, Valentine's Day.
In Italian Wikipedia the most popular articles on that day were: Federica Brignone, Lisa Vittozzi, Sofia Goggia, Donyell Malen, Cime tempestose, Jeffrey Epstein, Cime tempestose (film 2026), Lara Della Mea, Medagliere dei XXV Giochi olimpici invernali, Alberto Tomba.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(3.38+5.92+0+21.74+100)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
