Multi-locus Analyses Reveal Four Giraffe Species Instead of One

Multilingual Wikipedia

In June 2020 the work Multi-locus Analyses Reveal Four Giraffe Species Instead of One was on the 2,452nd 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 2,552nd place in June 2020. From Wikipedians' point of view, "Multi-locus Analyses Reveal Four Giraffe Species Instead of One" is the 1,138th most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
2,452nd place
320,394
-179,409
AR-score:
1,138th place
31,074
+121
F-score:
2,552nd place
75
0

Dutch Wikipedia (nl)

PR-score:
41st place
97,692
-17,872
AR-score:
298th place
3,750
+55
F-score:
95th place
8
0

Russian Wikipedia (ru)

PR-score:
440th place
88,076
-48,545
AR-score:
108th place
7,187
+57
F-score:
3,709th place
5
0

English Wikipedia (en)

PR-score:
23,122nd place
67,842
-17,046
AR-score:
9,482nd place
7,420
-3
F-score:
11,179th place
14
0

Vietnamese Wikipedia (vi)

PR-score:
243rd place
18,655
-57,556
AR-score:
1,194th place
722
0
F-score:
15,769th place
1
0

French Wikipedia (fr)

PR-score:
2,948th place
17,457
-3,337
AR-score:
1,614th place
2,815
+7
F-score:
8,299th place
3
0

Italian Wikipedia (it)

PR-score:
4,216th place
6,986
-6,886
AR-score:
728th place
2,846
0
F-score:
2,273rd place
5
0

Ukrainian Wikipedia (uk)

PR-score:
655th place
5,612
-19,306
AR-score:
92nd place
3,080
+2
F-score:
220th place
13
0

Chinese Wikipedia (zh)

PR-score:
11,138th place
4,428
-2,349
AR-score:
12,538th place
246
0
F-score:
2,310th place
6
0

Galician Wikipedia (gl)

PR-score:
5,286th place
74
-36
AR-score:
4,234th place
76
0
F-score:
457th place
6
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...