Magnetostratigraphy and geochronology of the Hell Creek and basal Fort Union Formations of southwestern North Dakota and a recalibration of the age of...

Multilingual Wikipedia

In June 2020 the work Magnetostratigraphy and geochronology of the Hell Creek and basal Fort Union Formations of southwestern North Dakota and a recalibration of the age of... was on the 315,064th 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 40,539th place in June 2020. From Wikipedians' point of view, "Magnetostratigraphy and geochronology of the Hell Creek and basal Fort Union Formations of southwestern North Dakota and a recalibration of the age of..." is the 138,471st most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
315,064th place
8,681
-2,064
AR-score:
138,471st place
1,881
+5
F-score:
40,539th place
14
0

French Wikipedia (fr)

PR-score:
21,258th place
2,441
-509
AR-score:
27,070th place
276
+2
F-score:
30,165th place
1
0

Russian Wikipedia (ru)

PR-score:
23,792nd place
1,991
-719
AR-score:
20,881st place
214
+1
F-score:
26,267th place
1
0

Italian Wikipedia (it)

PR-score:
19,743rd place
1,287
-702
AR-score:
13,740th place
305
+3
F-score:
28,248th place
1
0

Afrikaans Wikipedia (af)

PR-score:
200th place
800
+467
AR-score:
129th place
466
0
F-score:
2,777th place
1
0

Slovak Wikipedia (sk)

PR-score:
804th place
597
-383
AR-score:
455th place
277
0
F-score:
798th place
1
0

Arabic Wikipedia (ar)

PR-score:
47,447th place
152
+8
AR-score:
66,599th place
33
0
F-score:
26,541st place
1
0

Belarusian Wikipedia (be)

PR-score:
363rd place
57
-57
AR-score:
804th place
28
0
F-score:
1,206th place
1
0

Armenian Wikipedia (hy)

PR-score:
14,207th place
21
-4
AR-score:
10,504th place
12
0
F-score:
12,877th place
1
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...