Бактэрыі

Article "Бактэрыі" in Belarusian Wikipedia has 9.55 points for quality and 0.2175 points for popularity. The article contains, among others metrics, 0 references and 6 sections. This article has the best quality in Indonesian Wikipedia. However, the most popular language version of this article is Spanish.

BE

748 place in the rating of Belarusian Wikipedia.

732 place in the multilingual rating of all topics.

3035 place in the multilingual rating of Global Authors’ Interest.

Бактэрыі - domain of prokaryotes. There are 55 language versions for this article in WikiRank database (of the considered 55 Wikipedia language editions).

Data as of May 1, 2019. Query time 0.0455 sec.

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

#	Language	Quality grade	Quality score
1	Indonesian Bakteri		100
2	Catalan Eubacteris		100
3	Basque Bakterio		100
4	Spanish Bacteria		99.4375
5	Lithuanian Bakterijos		97.7778

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

#	Language	Relative award	Relative popularity
1	Spanish Bacteria		100
2	English Bacteria		91.0163
3	Russian Бактерии		31.3872
4	German Bakterien		21.1263
5	French Bactérie		16.9243

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