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Source regions and timescales for the delivery of water to the Earth

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Multilingual Wikipedia

In June 2020 the work Source regions and timescales for the delivery of water to the Earth was on the 2,656th 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 1,939th place in June 2020. From Wikipedians' point of view, "Source regions and timescales for the delivery of water to the Earth" is the 1,590th most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
2,656th place
308,547
-124,056
AR-score:
1,590th place
26,371
+148
F-score:
1,939th place
88
+1

English Wikipedia (en)

PR-score:
5,816th place
150,682
-41,355
AR-score:
4,581st place
10,734
+19
F-score:
12,864th place
13
0

Simple English Wikipedia (simple)

PR-score:
17th place
34,614
-17,757
AR-score:
44th place
5,314
+14
F-score:
1,167th place
1
0

Spanish Wikipedia (es)

PR-score:
3,972nd place
33,295
-20,317
AR-score:
12,351st place
627
0
F-score:
6,287th place
3
0

Russian Wikipedia (ru)

PR-score:
3,769th place
20,536
-17,189
AR-score:
1,949th place
1,732
+37
F-score:
2,138th place
7
0

French Wikipedia (fr)

PR-score:
3,353rd place
15,828
-716
AR-score:
6,725th place
1,108
0
F-score:
7,926th place
3
0

Chinese Wikipedia (zh)

PR-score:
7,080th place
7,091
-561
AR-score:
3,853rd place
710
0
F-score:
3,321st place
4
0

Lithuanian Wikipedia (lt)

PR-score:
27th place
5,775
-10,800
AR-score:
17th place
2,575
+25
F-score:
249th place
1
0

Indonesian Wikipedia (id)

PR-score:
1,058th place
4,578
-1,020
AR-score:
1,440th place
352
0
F-score:
439th place
7
0

Vietnamese Wikipedia (vi)

PR-score:
5,586th place
1,480
-72
AR-score:
7,471st place
160
0
F-score:
1,431st place
5
0
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About the project

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...

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