Near-Surface Temperatures on Mercury and the Moon and the Stability of Polar Ice Deposits

Multilingual Wikipedia

In June 2020 the work Near-Surface Temperatures on Mercury and the Moon and the Stability of Polar Ice Deposits was on the 6,061st 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 1,947th place in June 2020. From Wikipedians' point of view, "Near-Surface Temperatures on Mercury and the Moon and the Stability of Polar Ice Deposits" is the 2,697th most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
6,061st place
200,389
-46,144
AR-score:
2,697th place
20,344
+634
F-score:
1,947th place
88
+2

English Wikipedia (en)

PR-score:
8,427th place
122,913
-4,521
AR-score:
14,300th place
5,989
-7
F-score:
37,078th place
7
0

Russian Wikipedia (ru)

PR-score:
2,108th place
32,146
-26,769
AR-score:
1,385th place
2,121
+2
F-score:
5,649th place
4
0

Chinese Wikipedia (zh)

PR-score:
6,330th place
7,898
+339
AR-score:
7,474th place
409
+6
F-score:
4,952nd place
3
0

Persian Wikipedia (fa)

PR-score:
541st place
7,408
-3,809
AR-score:
525th place
1,052
+31
F-score:
1,546th place
2
0

French Wikipedia (fr)

PR-score:
10,785th place
5,768
+5,768
AR-score:
14,424th place
572
+572
F-score:
12,708th place
2
+2

Hindi Wikipedia (hi)

PR-score:
59th place
4,816
+346
AR-score:
83rd place
1,159
+15
F-score:
236th place
4
0

Simple English Wikipedia (simple)

PR-score:
572nd place
2,388
-888
AR-score:
426th place
1,530
0
F-score:
2,263rd place
1
0

Burmese Wikipedia (my)

PR-score:
51st place
804
-40
AR-score:
49th place
403
+11
F-score:
126th place
4
0

Basque Wikipedia (eu)

PR-score:
1,228th place
241
-274
AR-score:
1,001st place
187
0
F-score:
135th place
4
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...