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Sister Group Relationship of Turtles to the Bird-Crocodilian Clade Revealed by Nuclear DNA–Coded Proteins

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Multilingual Wikipedia

In June 2020 the work Sister Group Relationship of Turtles to the Bird-Crocodilian Clade Revealed by Nuclear DNA–Coded Proteins was on the 7,891st 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 9,623rd place in June 2020. From Wikipedians' point of view, "Sister Group Relationship of Turtles to the Bird-Crocodilian Clade Revealed by Nuclear DNA–Coded Proteins" is the 4,471st most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
7,891st place
171,292
-40,900
AR-score:
4,471st place
15,731
+995
F-score:
9,623rd place
35
+2

English Wikipedia (en)

PR-score:
18,934th place
77,054
-17,744
AR-score:
19,844th place
5,020
+18
F-score:
30,199th place
8
0

Spanish Wikipedia (es)

PR-score:
2,998th place
42,062
+12,369
AR-score:
3,001st place
2,248
+955
F-score:
6,566th place
3
+2

Portuguese Wikipedia (pt)

PR-score:
1,341st place
21,268
-2,950
AR-score:
654th place
2,656
0
F-score:
15,884th place
1
0

Italian Wikipedia (it)

PR-score:
1,839th place
13,594
-16,682
AR-score:
1,407th place
1,905
+5
F-score:
19,419th place
1
0

Chinese Wikipedia (zh)

PR-score:
8,701st place
5,713
-527
AR-score:
6,974th place
442
+5
F-score:
5,583rd place
3
0

French Wikipedia (fr)

PR-score:
14,463rd place
4,048
-1,421
AR-score:
9,732nd place
816
+6
F-score:
3,168th place
6
0

Simple English Wikipedia (simple)

PR-score:
1,286th place
889
-158
AR-score:
694th place
947
0
F-score:
1,481st place
1
0

Polish Wikipedia (pl)

PR-score:
23,855th place
636
-50
AR-score:
17,335th place
188
-4
F-score:
6,969th place
3
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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