The formation of Uranus and Neptune in the Jupiter–Saturn region of the Solar System

Multilingual Wikipedia

In June 2020 the work The formation of Uranus and Neptune in the Jupiter–Saturn region of the Solar System was on the 14,685th place in the ranking of the most reliable and popular publications with DOI number in multilingual Wikipedia from readers' point of view (PR-score). If we consider only frequency of appearance of this source in references of Wikipedia articles (F-score), this work was on the 1,860th place in June 2020. From Wikipedians' point of view, "The formation of Uranus and Neptune in the Jupiter–Saturn region of the Solar System" is the 7,192nd most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
14,685th place
119,774
-51,269
AR-score:
7,192nd place
12,315
+37
F-score:
1,860th place
90
0

English Wikipedia (en)

PR-score:
52,288th place
39,035
-7,589
AR-score:
40,052nd place
3,330
+2
F-score:
47,933rd place
6
0

Bulgarian Wikipedia (bg)

PR-score:
157th place
18,064
-10,629
AR-score:
105th place
1,903
+16
F-score:
126th place
5
0

Spanish Wikipedia (es)

PR-score:
8,500th place
15,589
-6,651
AR-score:
7,749th place
1,007
+3
F-score:
3,078th place
5
0

German Wikipedia (de)

PR-score:
11,083rd place
13,807
-2,137
AR-score:
13,691st place
1,135
+6
F-score:
13,245th place
2
0

Russian Wikipedia (ru)

PR-score:
7,234th place
11,288
-13,383
AR-score:
6,612th place
722
+1
F-score:
2,669th place
6
0

Chinese Wikipedia (zh)

PR-score:
7,022nd place
7,164
+711
AR-score:
8,236th place
378
+5
F-score:
1,877th place
6
0

Marathi Wikipedia (mr)

PR-score:
45th place
1,133
-633
AR-score:
13th place
1,500
0
F-score:
186th place
1
0

Azerbaijani Wikipedia (az)

PR-score:
623rd place
115
-279
AR-score:
279th place
105
0
F-score:
54th place
5
0

Belarusian Wikipedia (be)

PR-score:
554th place
33
-19
AR-score:
254th place
111
0
F-score:
48th place
5
0
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BestRef shows popularity and reliability scores for sources in references of Wikipedia articles in different languages. Data extraction based on complex method using Wikimedia dumps. To find the most popular and reliable sources we used information about over 200 million references of Wikipedia articles. More details...