The Last Universal Common Ancestor: emergence, constitution and genetic legacy of an elusive forerunner

Multilingual Wikipedia

In June 2020 the work The Last Universal Common Ancestor: emergence, constitution and genetic legacy of an elusive forerunner was on the 10,814th 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 3,373rd place in June 2020. From Wikipedians' point of view, "The Last Universal Common Ancestor: emergence, constitution and genetic legacy of an elusive forerunner" is the 3,928th most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
10,814th place
142,690
-45,685
AR-score:
3,928th place
16,869
+44
F-score:
3,373rd place
64
0

English Wikipedia (en)

PR-score:
14,904th place
88,854
-20,844
AR-score:
5,881st place
9,498
+13
F-score:
12,819th place
13
0

Spanish Wikipedia (es)

PR-score:
10,549th place
12,281
-4,719
AR-score:
22,797th place
291
+6
F-score:
5,197th place
4
0

Russian Wikipedia (ru)

PR-score:
8,973rd place
8,738
-4,585
AR-score:
10,983rd place
469
0
F-score:
11,162nd place
2
0

Simple English Wikipedia (simple)

PR-score:
139th place
8,338
-2,504
AR-score:
107th place
3,520
0
F-score:
448th place
2
0

Vietnamese Wikipedia (vi)

PR-score:
1,329th place
5,764
-1,052
AR-score:
2,313th place
450
0
F-score:
1,980th place
4
0

Polish Wikipedia (pl)

PR-score:
8,712th place
4,445
-891
AR-score:
5,855th place
674
+9
F-score:
4,725th place
4
0

Arabic Wikipedia (ar)

PR-score:
20,100th place
667
-45
AR-score:
17,380th place
200
0
F-score:
3,315th place
4
0

Galician Wikipedia (gl)

PR-score:
7,472nd place
53
-38
AR-score:
6,069th place
56
0
F-score:
1,067th 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...