Rainforest collapse triggered Carboniferous tetrapod diversification in Euramerica in June 2020

Multilingual Wikipedia

In June 2020 the work Rainforest collapse triggered Carboniferous tetrapod diversification in Euramerica was on the 123rd 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 329th place in June 2020. From Wikipedians' point of view, "Rainforest collapse triggered Carboniferous tetrapod diversification in Euramerica" is the 81st most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
123rd place
1,356,629
-376,873
AR-score:
81st place
140,554
+452
F-score:
329th place
264
+1

English Wikipedia

PR-score:
78th place
1,116,549
-288,430
AR-score:
39th place
115,022
-81
F-score:
359th place
90
0

Spanish Wikipedia

PR-score:
2,865th place
43,932
-12,858
AR-score:
3,160th place
2,140
+6
F-score:
709th place
12
0

Korean Wikipedia

PR-score:
161st place
34,711
+5,123
AR-score:
465th place
1,567
+20
F-score:
1,318th place
4
0

Arabic Wikipedia

PR-score:
206th place
29,282
-13,130
AR-score:
124th place
3,694
+5
F-score:
101st place
26
0

Chinese Wikipedia

PR-score:
1,816th place
22,864
-4,764
AR-score:
464th place
2,623
+33
F-score:
378th place
16
0

Portuguese Wikipedia

PR-score:
2,495th place
13,088
-62
AR-score:
629th place
2,706
+301
F-score:
845th place
9
+1

Turkish Wikipedia

PR-score:
310th place
11,449
-22,451
AR-score:
81st place
3,033
0
F-score:
150th place
9
0
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Popularity and reliability assessment of sources in references of Wikipedia in different languages. Data extraction based on complex method using Wikimedia dumps in July 2020. More details in the research "Modeling Popularity and Reliability of Sources in Multilingual Wikipedia". Values for PR-score and AR-score were additinaly increased 100 times (to distinguish smaller values in the ranking).

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