Elon Musk

Article "Elon Musk" in English Wikipedia has 99.2481 points for quality and 100 points for popularity. The article contains, among others metrics, 369 references and 33 sections. In this language version of Wikipedia the article has the best quality. Also, this article is the most popular in that language version.

17 place in the multilingual rating of people.

EN

53 place in the rating of English Wikipedia.

76 place in the multilingual rating of all topics.

256 place in the multilingual rating of Global Authors’ Interest.

Elon Musk - South African-born American entrepreneur. There are 53 language versions for this article in WikiRank database (of the considered 55 Wikipedia language editions).

Data as of May 1, 2019. Query time 0.0606 sec.

The table below shows the language versions of the article with the highest quality.

#	Language	Quality grade	Quality score
1	English Elon Musk		99.2481
2	Estonian Elon Musk		100
3	Arabic إيلون مسك		98.5714
4	Spanish Elon Musk		96.6567
5	Portuguese Elon Musk		93.913

The following table shows the most popular language versions of the article.

#	Language	Relative award	Relative popularity
1	English Elon Musk		100
2	Russian Маск, Илон		18.9823
3	French Elon Musk		9.6808
4	Spanish Elon Musk		9.2047
5	German Elon Musk		8.9357

The following table shows the language versions of the article with the highest Authors’ Interest.

The 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 38 million Wikipedia articles in 55 languages. Quality scores of articles are based on Wikipedia dumps from May, 2019. When calculating popularity, view statistics of articles for last month (April 2019) were taken into account.

You can also visit WikiRank.Live (previous version of the main tool), which can calculate quality and popularity based on current versions of Wikipedia articles in 7 languages.

It's planned to add different improvements to the project (such as adding to the analysis not only new quantitative characteristics, but also qualitative). In addition, it is planned to add estimates using machine learning algorithms and artificial intelligence, as well as based on the results of user comparison of specific multilingual information (for example, the WikiBest project). Please leave your comments and suggestions