Good Job

Quality:

Good Job - 2022 South Korean television series. Article "Good Job" in Chinese Wikipedia has 37.3 points for quality (as of August 1, 2024). The article contains 8 references and 12 sections.

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

Since the creation of article "Good Job", its content was written by 31 registered users of Chinese Wikipedia and edited by 64 registered Wikipedia users in all languages.

The article is cited 506 times in Chinese Wikipedia and cited 604 times in all languages.

The highest Authors Interest rank from 2001:

  • Local (Chinese): #137 in September 2022
  • Global: #2655 in September 2022

The highest popularity rank from 2008:

  • Local (Chinese): #198 in September 2022
  • Global: #8695 in September 2022

There are 6 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 August 1, 2024 (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)
Good Job (TV series)
51.7148
2Spanish (es)
Good Job (serie de televisión)
38.5027
3Chinese (zh)
Good Job
37.3102
4Arabic (ar)
عمل جيد
35.3364
5Japanese (ja)
グッジョブ (テレビドラマ)
21.1075
6Korean (ko)
굿잡 (드라마)
18.6079
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 "Good Job" in all the time
#LanguagePopularity awardRelative popularity
1English (en)
Good Job (TV series)
270 957
2Chinese (zh)
Good Job
240 821
3Korean (ko)
굿잡 (드라마)
31 238
4Japanese (ja)
グッジョブ (テレビドラマ)
11 049
5Spanish (es)
Good Job (serie de televisión)
9 185
6Arabic (ar)
عمل جيد
6 722
More...

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

Most popular in July 2024

The most popular language versions of the article "Good Job" in July 2024
#LanguagePopularity awardRelative popularity
1English (en)
Good Job (TV series)
3 438
2Chinese (zh)
Good Job
3 129
3Japanese (ja)
グッジョブ (テレビドラマ)
636
4Spanish (es)
Good Job (serie de televisión)
198
5Korean (ko)
굿잡 (드라마)
135
6Arabic (ar)
عمل جيد
102
More...

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

The highest AI

Language versions of the article "Good Job" with the highest Authors Interest (number of authors). Only registered Wikipedia users were taken into account.
#LanguageAI awardRelative AI
1Chinese (zh)
Good Job
31
2English (en)
Good Job (TV series)
14
3Korean (ko)
굿잡 (드라마)
9
4Japanese (ja)
グッジョブ (テレビドラマ)
7
5Spanish (es)
Good Job (serie de televisión)
2
6Arabic (ar)
عمل جيد
1
More...

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

The highest AI in July 2024

Language versions of the article "Good Job" with the highest AI in July 2024
#LanguageAI awardRelative AI
1Arabic (ar)
عمل جيد
0
2English (en)
Good Job (TV series)
0
3Spanish (es)
Good Job (serie de televisión)
0
4Japanese (ja)
グッジョブ (テレビドラマ)
0
5Korean (ko)
굿잡 (드라마)
0
6Chinese (zh)
Good Job
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 "Good Job" with the highest Citation Index (CI)
#LanguageCI awardRelative CI
1Chinese (zh)
Good Job
506
2Korean (ko)
굿잡 (드라마)
42
3English (en)
Good Job (TV series)
36
4Spanish (es)
Good Job (serie de televisión)
10
5Arabic (ar)
عمل جيد
6
6Japanese (ja)
グッジョブ (テレビドラマ)
4
More...

Scores

Estimated value for Wikipedia:
Chinese:
Global:
Popularity in July 2024:
Chinese:
Global:
Popularity in all years:
Chinese:
Global:
Authors in July 2024:
Chinese:
Global:
Registered authors in all years:
Chinese:
Global:
Citations:
Chinese:
Global:

Quality measures

Interwikis

#LanguageValue
arArabic
عمل جيد
enEnglish
Good Job (TV series)
esSpanish
Good Job (serie de televisión)
jaJapanese
グッジョブ (テレビドラマ)
koKorean
굿잡 (드라마)
zhChinese
Good Job

Popularity rank trends

Best Rank Chinese:
#198
09.2022
Global:
#8695
09.2022

AI rank trends

Best Rank Chinese:
#137
09.2022
Global:
#2655
09.2022

Local popularity rank history

Global popularity rank history

Local AI rank history

Global AI rank history

Languages comparison

Important global interconnections

Wikipedia readers most often find their way to information on Good Job from Wikipedia articles about Jung Il-woo, Kwon Yuri, Eum Moon-suk, List of South Korean dramas and Yoon Sun-woo. Whereas reading the article about Good Job people most often go to Wikipedia articles on Kwon Yuri, Jung Il-woo, Eum Moon-suk, Yoon Sun-woo and Kim Jung-hwa.

Cumulative results of quality and popularity of the Wikipedia article

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

News from 6 November 2024

On 6 November 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Donald Trump, 2024 United States presidential election, Kamala Harris, 2020 United States presidential election, United States Electoral College, President of the United States, 2016 United States presidential election, Melania Trump, list of presidents of the United States, Joe Biden.

In Chinese Wikipedia the most popular articles on that day were: 2024年美國總統選舉, 唐納·川普, 2020年美國總統選舉, 搖擺州, 賀錦麗, 2016年美國總統選舉, 美国总统, 美国总统列表, 選舉人團 (美國), 紅州與藍州.

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 August, 2024. When calculating current popularity and AI of articles data from July 2024 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2023... More information