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Anthropoid primates from the Oligocene of Pakistan (Bugti Hills): Data on early anthropoid evolution and biogeography

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Multilingual Wikipedia

In June 2020 the work Anthropoid primates from the Oligocene of Pakistan (Bugti Hills): Data on early anthropoid evolution and biogeography was on the 2,407th 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 13,756th place in June 2020. From Wikipedians' point of view, "Anthropoid primates from the Oligocene of Pakistan (Bugti Hills): Data on early anthropoid evolution and biogeography" is the 745th most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
2,407th place
323,794
-75,163
AR-score:
745th place
38,154
-73
F-score:
13,756th place
28
0

Dutch Wikipedia (nl)

PR-score:
8th place
202,200
-31,200
AR-score:
4th place
29,500
0
F-score:
1,817th place
1
0

English Wikipedia (en)

PR-score:
10,740th place
107,622
-38,092
AR-score:
12,014th place
6,557
-75
F-score:
20,603rd place
10
0

Spanish Wikipedia (es)

PR-score:
12,164th place
10,375
-4,521
AR-score:
9,618th place
814
+2
F-score:
11,097th place
2
0

Portuguese Wikipedia (pt)

PR-score:
18,742nd place
1,364
-156
AR-score:
25,778th place
76
0
F-score:
14,000th place
1
0

Polish Wikipedia (pl)

PR-score:
21,292nd place
841
-353
AR-score:
32,071st place
51
0
F-score:
38,700th place
1
0

German Wikipedia (de)

PR-score:
67,970th place
283
-67
AR-score:
33,813th place
416
0
F-score:
10,423rd place
3
0

Greek Wikipedia (el)

PR-score:
8,046th place
223
-102
AR-score:
1,305th place
263
0
F-score:
1,984th place
2
0

French Wikipedia (fr)

PR-score:
65,603rd place
123
-215
AR-score:
22,300th place
353
0
F-score:
18,000th place
2
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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