翠鸟属

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翠鸟属

Article "翠鸟属" in Chinese Wikipedia has 5.8579 points for quality and 3.1238 points for popularity. This article has the best quality in Polish Wikipedia. However, the most popular language version of this article is Russian.

There are 25 language versions for this article in WikiRank database (of the considered 55 Wikipedia language editions).

Query time 0.1113 sec.

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

Languages with the highest quality

# Language Quality grade Quality score
1Polish
Alcedo
40.0994
2German
Alcedo (Gattung)
34.3207
3Russian
Зимородки
31.1096
4Dutch
Alcedo (geslacht)
28.4938
5Hungarian
Alcedo
28.1908

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

The most popular languages

# Language Popularity grade Popularity score
1Russian
Зимородки
100
2English
Alcedo
55.7424
3Japanese
カワセミ属
24.3328
4German
Alcedo (Gattung)
12.7034
5French
Alcedo
9.4929

Scores

Quality:
Popularity:

Languages comparsion

Cumulative results

About WikiRank

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 36 million Wikipedia articles in 55 languages. Quality scores of articles are based on Wikipedia dumps from November, 2017. When calculating popularity, view statistics of articles for last year (from 1 November 2016 to 31 October 2017) 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). Please leave your comments and suggestions

The WikiRank project was developed on the basis of researches made by scientists from Poland and Belarus. More information about quality assessment of Wikipedia articles and project WikiRank can be found in scientific publications:

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