Ancient Nursery Area for the Extinct Giant Shark Megalodon from the Miocene of Panama

Multilingual Wikipedia

In June 2020 the work Ancient Nursery Area for the Extinct Giant Shark Megalodon from the Miocene of Panama was on the 1,593rd 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 1,279th place in June 2020. From Wikipedians' point of view, "Ancient Nursery Area for the Extinct Giant Shark Megalodon from the Miocene of Panama" is the 1,801st most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
1,593rd place
401,688
+12,233
AR-score:
1,801st place
24,850
+69
F-score:
1,279th place
113
0

English Wikipedia (en)

PR-score:
3,448th place
198,617
-23,964
AR-score:
4,238th place
11,129
+14
F-score:
8,686th place
16
0

Dutch Wikipedia (nl)

PR-score:
40th place
97,966
+70,200
AR-score:
325th place
3,516
0
F-score:
2,710th place
1
0

Spanish Wikipedia (es)

PR-score:
1,643rd place
69,366
-15,397
AR-score:
881st place
5,367
+28
F-score:
204th place
23
0

Vietnamese Wikipedia (vi)

PR-score:
1,153rd place
6,459
-1,484
AR-score:
2,599th place
413
0
F-score:
891st place
7
0

Romanian Wikipedia (ro)

PR-score:
315th place
5,511
-5,533
AR-score:
384th place
555
0
F-score:
2,348th place
2
0

Swedish Wikipedia (sv)

PR-score:
805th place
3,969
-4,770
AR-score:
922nd place
994
+20
F-score:
435th place
5
0

Czech Wikipedia (cs)

PR-score:
1,797th place
3,830
-1,343
AR-score:
1,320th place
535
0
F-score:
235th place
8
0

Hungarian Wikipedia (hu)

PR-score:
916th place
3,184
-755
AR-score:
1,291st place
445
+5
F-score:
55th place
16
0

Arabic Wikipedia (ar)

PR-score:
8,680th place
1,768
-8
AR-score:
14,789th place
248
0
F-score:
729th place
9
0
Show all Wikipedia languages...

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...