神戸連続児童殺傷事件

JA

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神戸連続児童殺傷事件

Kobe child murders - murders in Kobe, Japan. Article "神戸連続児童殺傷事件" in Japanese Wikipedia has 89.3 points for quality (as of May 1, 2020). The article contains, among others metrics, 292 references and 49 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 April 2020:
The 3489th most popular in Japanese Wikipedia.

In April 2020 the article "神戸連続児童殺傷事件" was edited by 2 authors in Japanese Wikipedia and written by 4 authors in all languages.

Since the creation of article "神戸連続児童殺傷事件", its content was written by 273 authors in Japanese Wikipedia and edited by 586 authors in all languages.

The article is cited 185 times in Japanese Wikipedia and cited 227 times in all languages.

The highest Authors’ Interest rank from 2002:

  • Local (Japanese): #387 in June 2015
  • Global: #30855 in October 2006

The highest popularity rank from 2008:

  • Local (Japanese): #64 in August 2019
  • Global: #3475 in May 2011

There are 4 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 May 1, 2020 (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
神戸連続児童殺傷事件
89.3
2Chinese
酒鬼薔薇聖斗事件
55.311
3English
Kobe child murders
45.1882
4Spanish
Asesinatos de Kobe
15.9835
More...

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

Most popular in April 2020

The most popular language versions of the article "神戸連続児童殺傷事件" in April 2020
#LanguagePop. awardRelative popularity
1Japanese
神戸連続児童殺傷事件
100
2English
Kobe child murders
36.7776
3Chinese
酒鬼薔薇聖斗事件
19.2451
4Spanish
Asesinatos de Kobe
1.151
More...

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

The highest AI in April 2020

Language versions of the article "神戸連続児童殺傷事件" with the highest AI in April 2020
#LanguageAI awardRelative AI
1Japanese
神戸連続児童殺傷事件
100
2English
Kobe child murders
100
3Chinese
酒鬼薔薇聖斗事件
0
4Spanish
Asesinatos de Kobe
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 "神戸連続児童殺傷事件" with the highest Citation Index (CI)
#LanguageCI awardRelative CI
1Japanese
神戸連続児童殺傷事件
100
2English
Kobe child murders
13.5135
3Chinese
酒鬼薔薇聖斗事件
8.6486
4Spanish
Asesinatos de Kobe
0.5405
More...

Scores

Quality as of May 1, 2020:
Popularity in April 2020:
Japanese:
Global:
Authors in April 2020:
Japanese:
Global:
Authors in all years:
Japanese:
Global:
Citations:
Japanese:
Global:

Quality measures

Interwiki

Popularity rank history

Best Rank Japanese:
#64
08.2019
Global:
#3475
05.2011

AI rank history

Best Rank Japanese:
#387
06.2015
Global:
#30855
10.2006

Languages comparsion

Cumulative results

News from 24 May 2020

On 24 May 2020 in multilingual Wikipedia, Internet users most often read articles on the following topics: COVID-19 pandemic, YouTube, Eid al-Fitr, Michael Jordan, Hana Kimura, United States of America, Deaths in 2020, May 24, COVID-19, The Pirate Bay.

In Japanese Wikipedia the most popular articles on that day were: 木村花, テラスハウス (テレビ番組), 木村響子, 斎藤義龍, 早見あかり, 機動戦士ガンダムF91, 鬼滅の刃, 機動戦士ガンダムF91の登場人物, スペインかぜ, 織田信長.

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 May, 2020. When calculating current popularity and AI of articles data from April 2020 was taken into account. For historical values of polularity and AI WikiRank used data from 2002 to 2020... More information

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