Уилкокс (окръг, Алабама)

Article "Уилкокс (окръг, Алабама)" in Bulgarian Wikipedia has 25.7061 points for quality and 0.0652 points for popularity. The article contains, among others metrics, 2 references and 1 sections. This article has the best quality in English Wikipedia. Also, this article is the most popular in that language version.

Уилкокс (окръг, Алабама) - county in Alabama, United States. There are 30 language versions for this article in WikiRank database (of the considered 55 Wikipedia language editions).

Data as of May 1, 2019. Query time 0.0447 sec.

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

#	Language	Quality grade	Quality score
1	English Wilcox County, Alabama		59.5298
2	Simple English Wilcox County, Alabama		53.8939
3	German Wilcox County (Alabama)		41.1959
4	Urdu ولکاکس کاؤنٹی، الاباما		34.4085
5	Romanian Comitatul Wilcox, Alabama		34.1938

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

#	Language	Relative award	Relative popularity
1	English Wilcox County, Alabama		100
2	German Wilcox County (Alabama)		1.4993
3	French Comté de Wilcox (Alabama)		0.9778
4	Russian Уилкокс (округ, Алабама)		0.9126
5	Italian Contea di Wilcox (Alabama)		0.7823

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