丸川珠代

JA

WikiRank.net
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丸川珠代

Tamayo Marukawa - Japanese politician and announcer. Article "丸川珠代" in Japanese Wikipedia has 45.3 points for quality (as of January 1, 2021). The article contains, among others metrics, 44 references and 15 sections. The article also contains quality flaw template, which reduce quality score.

In this language version of Wikipedia the article has the best quality. Also, this article is the most popular in that language version.

Achievements in December 2020:

Since the creation of article "丸川珠代", its content was written by 393 authors in Japanese Wikipedia (5824th place) and edited by 449 authors in all languages.

The article is cited 321 times in Japanese Wikipedia and cited 475 times in all languages.

The highest Authors’ Interest rank from 2002:

  • Local (Japanese): #14 in July 2007
  • Global: #6927 in July 2007

The highest popularity rank from 2008:

  • Local (Japanese): #125 in August 2016
  • Global: #8002 in August 2016

There are 5 language versions for this article in WikiRank database (of the considered 55 Wikipedia language editions).

The quality and popularity assessment was based on Wikipedia dumps from January 1, 2021 (including revision history and pageviews for previous years).

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

Languages with the highest quality

#LanguageQuality gradeQuality score
1Japanese
丸川珠代
45.2674
2French
Tamayo Marukawa
25.5645
3German
Tamayo Marukawa
23.6525
4Chinese
丸川珠代
18.6618
5English
Tamayo Marukawa
18.4059
More...

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

Most popular in December 2020

The most popular language versions of the article "丸川珠代" in December 2020
#LanguagePop. awardRelative popularity
1Japanese
丸川珠代
100
2English
Tamayo Marukawa
3.5242
3Chinese
丸川珠代
1.156
4German
Tamayo Marukawa
0.3666
5French
Tamayo Marukawa
0.1692
More...

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

The highest AI in December 2020

Language versions of the article "丸川珠代" with the highest AI in December 2020
#LanguageAI awardRelative AI
1Chinese
丸川珠代
100
2German
Tamayo Marukawa
0
3English
Tamayo Marukawa
0
4French
Tamayo Marukawa
0
5Japanese
丸川珠代
0
More...

The following table shows the language versions of the article with the highest number of citations.

The highest CI

Language versions of the article "丸川珠代" with the highest Citation Index (CI)
#LanguageCI awardRelative CI
1Japanese
丸川珠代
100
2Chinese
丸川珠代
27.1028
3English
Tamayo Marukawa
10.5919
4French
Tamayo Marukawa
5.6075
5German
Tamayo Marukawa
4.6729
More...

Scores

Quality as of January 1, 2021:
Popularity in December 2020:
Japanese:
Global:
Authors in December 2020:
Japanese:
Global:
Authors in all years:
Japanese:
Global:
Citations:
Japanese:
Global:

Quality measures

Interwiki

Popularity rank history

Best Rank Japanese:
#125
08.2016
Global:
#8002
08.2016

AI rank history

Best Rank Japanese:
#14
07.2007
Global:
#6927
07.2007

Languages comparsion

Cumulative results

News from 9 April 2021

On 9 April 2021 in multilingual Wikipedia, Internet users most often read articles on the following topics: Prince Philip, Duke of Edinburgh, Elizabeth II, Charles, Prince of Wales, George VI, Prince Andrew of Greece and Denmark, DMX, Anne, Princess Royal, Princess Alice of Battenberg, Prince Edward, Earl of Wessex, Queen Elizabeth The Queen Mother.

In Japanese Wikipedia the most popular articles on that day were: ゲド戦記 (映画), フィリップ (エディンバラ公), マリエ (モデル), 橋田壽賀子, エリザベス2世, ゲド戦記, 都道府県のシンボルの一覧, 石井ふく子, 進撃の巨人, スーパークレイジー君.

About WikiRank

The WikiRank 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 39 million Wikipedia articles in 55 languages. Quality scores of articles are based on Wikipedia dumps from January, 2021. When calculating current popularity and AI of articles data from December 2020 was taken into account. For historical values of polularity and AI WikiRank used data from 2002 to 2020... More information