Catch Me Who Can

en

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Catch Me Who Can

Quality:

Catch Me Who Can - Early British steam locomotive (1808). Article “Catch Me Who Can” in English Wikipedia has 46.4 points for quality (as of July 1, 2025). The article contains 22 references and 9 sections.

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

Since the creation of article “Catch Me Who Can”, its content was written by 42 registered users of English Wikipedia and edited by 98 registered Wikipedia users in all languages.

The article is cited 48 times in English Wikipedia and cited 110 times in all languages.

The highest Authors Interest rank from 2001:

  • Local (English): #59712 in June 2007
  • Global: #82259 in May 2005

The highest popularity rank from 2008:

  • Local (English): #473292 in February 2008
  • Global: #200841 in September 2012

There are 8 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
1English (en)
Catch Me Who Can
46.3908
2Norwegian (no)
Catch Me Who Can
35.7361
3French (fr)
M'attrape qui peut !
12.4895
4Slovenian (sl)
Catch Me Who Can
9.7943
5Japanese (ja)
キャッチ・ミー・フー・キャン
9.6867
6Italian (it)
Catch Me Who Can
7.7527
7Russian (ru)
Поймай меня, кто сможет
4.6814
8German (de)
Catch me who can
4.3159
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 "Catch Me Who Can" in all the time
#LanguagePopularity awardRelative popularity
1English (en)
Catch Me Who Can
150 456
2Russian (ru)
Поймай меня, кто сможет
36 848
3French (fr)
M'attrape qui peut !
29 126
4German (de)
Catch me who can
25 164
5Japanese (ja)
キャッチ・ミー・フー・キャン
9 736
6Italian (it)
Catch Me Who Can
1 089
7Norwegian (no)
Catch Me Who Can
1 041
8Slovenian (sl)
Catch Me Who Can
543
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 "Catch Me Who Can" in June 2025
#LanguagePopularity awardRelative popularity
1English (en)
Catch Me Who Can
790
2Russian (ru)
Поймай меня, кто сможет
96
3French (fr)
M'attrape qui peut !
80
4Japanese (ja)
キャッチ・ミー・フー・キャン
78
5German (de)
Catch me who can
64
6Italian (it)
Catch Me Who Can
18
7Norwegian (no)
Catch Me Who Can
10
8Slovenian (sl)
Catch Me Who Can
9
More...

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

The highest AI

Language versions of the article "Catch Me Who Can" with the highest Authors Interest (number of authors). Only registered Wikipedia users were taken into account.
#LanguageAI awardRelative AI
1English (en)
Catch Me Who Can
42
2German (de)
Catch me who can
17
3French (fr)
M'attrape qui peut !
15
4Japanese (ja)
キャッチ・ミー・フー・キャン
7
5Russian (ru)
Поймай меня, кто сможет
7
6Norwegian (no)
Catch Me Who Can
5
7Italian (it)
Catch Me Who Can
3
8Slovenian (sl)
Catch Me Who Can
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 "Catch Me Who Can" with the highest AI in June 2025
#LanguageAI awardRelative AI
1German (de)
Catch me who can
0
2English (en)
Catch Me Who Can
0
3French (fr)
M'attrape qui peut !
0
4Italian (it)
Catch Me Who Can
0
5Japanese (ja)
キャッチ・ミー・フー・キャン
0
6Norwegian (no)
Catch Me Who Can
0
7Russian (ru)
Поймай меня, кто сможет
0
8Slovenian (sl)
Catch Me Who Can
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 "Catch Me Who Can" with the highest Citation Index (CI)
#LanguageCI awardRelative CI
1English (en)
Catch Me Who Can
48
2French (fr)
M'attrape qui peut !
25
3Russian (ru)
Поймай меня, кто сможет
23
4German (de)
Catch me who can
5
5Japanese (ja)
キャッチ・ミー・フー・キャン
3
6Italian (it)
Catch Me Who Can
2
7Norwegian (no)
Catch Me Who Can
2
8Slovenian (sl)
Catch Me Who Can
2
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
deGerman
Catch me who can
enEnglish
Catch Me Who Can
frFrench
M'attrape qui peut !
itItalian
Catch Me Who Can
jaJapanese
キャッチ・ミー・フー・キャン
noNorwegian
Catch Me Who Can
ruRussian
Поймай меня, кто сможет
slSlovenian
Catch Me Who Can

Popularity rank trends

Best Rank English:
#473292
02.2008
Global:
#200841
09.2012

AI rank trends

Best Rank English:
#59712
06.2007
Global:
#82259
05.2005

Languages comparison

Important global interconnections (July 2024 – June 2025)

Wikipedia readers most often find their way to information on Catch Me Who Can from Wikipedia articles about Richard Trevithick, Steam locomotive, Steam locomotives of the 21st century, History of rail transport and Steam engine. Whereas reading the article about Catch Me Who Can people most often go to Wikipedia articles on Richard Trevithick, Stephensons Rocket, Salamanca, History of rail transport in Great Britain to 1830 and Steam locomotive.

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

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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