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Reconstruction of patrilineages and matrilineages of Samaritans and other Israeli populations from Y-Chromosome and mitochondrial DNA sequence Variati...

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Multilingual Wikipedia

In June 2020 the work Reconstruction of patrilineages and matrilineages of Samaritans and other Israeli populations from Y-Chromosome and mitochondrial DNA sequence Variati... was on the 2,799th 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 1,817th place in June 2020. From Wikipedians' point of view, "Reconstruction of patrilineages and matrilineages of Samaritans and other Israeli populations from Y-Chromosome and mitochondrial DNA sequence Variati..." is the 1,649th most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
2,799th place
300,200
-38,250
AR-score:
1,649th place
25,882
+1,364
F-score:
1,817th place
91
+3

English Wikipedia (en)

PR-score:
3,108th place
209,005
-16,570
AR-score:
1,346th place
18,703
+1,351
F-score:
1,467th place
41
+2

Russian Wikipedia (ru)

PR-score:
3,628th place
21,223
-1,796
AR-score:
4,160th place
1,050
+10
F-score:
7,644th place
3
0

Persian Wikipedia (fa)

PR-score:
102nd place
20,814
-5,671
AR-score:
84th place
2,771
+29
F-score:
564th place
4
0

Greek Wikipedia (el)

PR-score:
88th place
15,412
-12,234
AR-score:
144th place
1,336
-105
F-score:
553rd place
4
0

Chinese Wikipedia (zh)

PR-score:
3,108th place
15,248
-1,286
AR-score:
6,295th place
486
+2
F-score:
2,415th place
5
0

Arabic Wikipedia (ar)

PR-score:
3,116th place
4,498
-1,297
AR-score:
8,016th place
439
+3
F-score:
695th place
9
0

Afrikaans Wikipedia (af)

PR-score:
68th place
1,824
-293
AR-score:
122nd place
497
0
F-score:
315th place
4
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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