The Red House Mystery

en

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The Red House Mystery

Quality:

The Red House Mystery - novel by A. A. Milne. Article “The Red House Mystery” in English Wikipedia has 15.5 points for quality (as of July 1, 2025). The article contains 2 references and 5 sections.

This article has the best quality in Italian Wikipedia. However, this article is the most popular in English version.

Since the creation of article “The Red House Mystery”, its content was written by 45 registered users of English Wikipedia and edited by 77 registered Wikipedia users in all languages.

The article is cited 8 times in English Wikipedia and cited 38 times in all languages.

The highest Authors Interest rank from 2001:

  • Local (English): #16176 in February 2003
  • Global: #24691 in February 2003

The highest popularity rank from 2008:

  • Local (English): #431263 in February 2008
  • Global: #598902 in February 2008

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

The quality and popularity assessment was based on Wikipédia dumps from July 1, 2025 (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
1Italian (it)
Il dramma di Corte Rossa
19.1607
2Russian (ru)
Тайна Красного Дома
15.5219
3English (en)
The Red House Mystery
15.4978
4Japanese (ja)
赤い館の秘密
11.1876
5Slovenian (sl)
Skrivnost rdeče hiše
9.6399
More...

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

Most popular in all the time

The most popular language versions of the article "The Red House Mystery" in all the time
#LanguagePopularity awardRelative popularity
1English (en)
The Red House Mystery
195 883
2Japanese (ja)
赤い館の秘密
50 058
3Russian (ru)
Тайна Красного Дома
10 748
4Italian (it)
Il dramma di Corte Rossa
1 183
5Slovenian (sl)
Skrivnost rdeče hiše
585
More...

The following table shows the language versions of the article with the highest popularity in the last month.

Most popular in June 2025

The most popular language versions of the article "The Red House Mystery" in June 2025
#LanguagePopularity awardRelative popularity
1English (en)
The Red House Mystery
928
2Japanese (ja)
赤い館の秘密
225
3Russian (ru)
Тайна Красного Дома
83
4Italian (it)
Il dramma di Corte Rossa
50
5Slovenian (sl)
Skrivnost rdeče hiše
8
More...

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

The highest AI

Language versions of the article "The Red House Mystery" with the highest Authors Interest (number of authors). Only registered Wikipedia users were taken into account.
#LanguageAI awardRelative AI
1English (en)
The Red House Mystery
45
2Japanese (ja)
赤い館の秘密
16
3Russian (ru)
Тайна Красного Дома
8
4Italian (it)
Il dramma di Corte Rossa
6
5Slovenian (sl)
Skrivnost rdeče hiše
2
More...

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

The highest AI in June 2025

Language versions of the article "The Red House Mystery" with the highest AI in June 2025
#LanguageAI awardRelative AI
1Italian (it)
Il dramma di Corte Rossa
1
2English (en)
The Red House Mystery
0
3Japanese (ja)
赤い館の秘密
0
4Russian (ru)
Тайна Красного Дома
0
5Slovenian (sl)
Skrivnost rdeče hiše
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 "The Red House Mystery" with the highest Citation Index (CI)
#LanguageCI awardRelative CI
1Japanese (ja)
赤い館の秘密
20
2English (en)
The Red House Mystery
8
3Italian (it)
Il dramma di Corte Rossa
5
4Russian (ru)
Тайна Красного Дома
4
5Slovenian (sl)
Skrivnost rdeče hiše
1
More...

Scores

Estimated value for Wikipedia:
English:
Global:
Popularity in June 2025:
English:
Global:
Popularity in all years:
English:
Global:
Authors in June 2025:
English:
Global:
Registered authors in all years:
English:
Global:
Citations:
English:
Global:

Quality measures

Interwikis

#LanguageValue
enEnglish
The Red House Mystery
itItalian
Il dramma di Corte Rossa
jaJapanese
赤い館の秘密
ruRussian
Тайна Красного Дома
slSlovenian
Skrivnost rdeče hiše

Popularity rank trends

Best Rank English:
#431263
02.2008
Global:
#598902
02.2008

AI rank trends

Best Rank English:
#16176
02.2003
Global:
#24691
02.2003

Languages comparison

Important global interconnections (July 2024 – June 2025)

Wikipedia readers most often find their way to information on The Red House Mystery from Wikipedia articles about A. A. Milne, The Simple Art of Murder, Kōsuke Kindaichi, Winnie-the-Pooh and The Murder in the Honjin. Whereas reading the article about The Red House Mystery people most often go to Wikipedia articles on A. A. Milne, Four Days Wonder, The Simple Art of Murder, Knoxs Commandments and Whodunit.

Cumulative results of quality and popularity of the Wikipedia article

List of Wikipedia articles in different languages (starting with the most popular):

News from 28 January 2026

On 28 January 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: 2025–26 UEFA Champions League, Nipah virus, Doomsday Clock, UEFA Champions League, Elena Rybakina, Donald Trump, 2026 European Men's Handball Championship, killing of Alex Pretti, Kristi Noem, deaths in 2026.

In English Wikipedia the most popular articles on that day were: Ajit Pawar, Border 2, Sharad Pawar, Killing of Alex Pretti, Ilhan Omar, Sunetra Pawar, Todd Monken, Kristi Noem, Wonder Man (miniseries), Gregory Bovino.

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 44 million Wikipedia articles in 55 languages. Quality scores of articles are based on Wikipedia dumps from July, 2025. When calculating current popularity and AI of articles data from June 2025 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2025... More information