Наполеон I Бонапарта

Article "Наполеон I Бонапарта" in Serbian Wikipedia has 62.4653 points for quality and 1.2226 points for popularity. The article contains, among others metrics, 20 references and 23 sections. This article has the best quality in Russian Wikipedia. However, the most popular language version of this article is English.

19 place in the multilingual rating of people.

SR

135 place in the rating of Serbian Wikipedia.

92 place in the multilingual rating of all topics.

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

Наполеон I Бонапарта - French general, First Consul and later Emperor of the French. There are 54 language versions for this article in WikiRank database (of the considered 55 Wikipedia language editions).

Data as of May 1, 2019. Query time 0.0803 sec.

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

#	Language	Quality grade	Quality score
1	Russian Наполеон I		100
2	Czech Napoleon Bonaparte		100
3	Vietnamese Napoléon Bonaparte		100
4	Armenian Նապոլեոն Բոնապարտ		100
5	Norwegian Napoléon Bonaparte		99.5394

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

#	Language	Relative award	Relative popularity
1	English Napoleon		100
2	Spanish Napoleón Bonaparte		37.7295
3	French Napoléon Ier		31.3072
4	Russian Наполеон I		28.2
5	German Napoleon Bonaparte		25.0892

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