Report of the IAU/IAG Working Group on cartographic coordinates and rotational elements: 2006

Multilingual Wikipedia

In June 2020 the work Report of the IAU/IAG Working Group on cartographic coordinates and rotational elements: 2006 was on the 268th 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 83rd place in June 2020. From Wikipedians' point of view, "Report of the IAU/IAG Working Group on cartographic coordinates and rotational elements: 2006" is the 69th most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
268th place
953,246
-522,285
AR-score:
69th place
161,871
+180
F-score:
83rd place
839
0

English Wikipedia (en)

PR-score:
999th place
364,246
-58,232
AR-score:
677th place
25,640
+44
F-score:
2,253rd place
33
0

Russian Wikipedia (ru)

PR-score:
187th place
141,592
-119,434
AR-score:
67th place
8,351
+6
F-score:
339th place
23
0

Chinese Wikipedia (zh)

PR-score:
281st place
75,692
+1,069
AR-score:
247th place
3,607
+20
F-score:
144th place
26
0

Greek Wikipedia (el)

PR-score:
14th place
53,516
-18,198
AR-score:
7th place
7,082
+11
F-score:
18th place
27
0

Swedish Wikipedia (sv)

PR-score:
28th place
38,780
-80,544
AR-score:
3rd place
21,077
+20
F-score:
30th place
25
0

Vietnamese Wikipedia (vi)

PR-score:
332nd place
15,528
-313
AR-score:
350th place
1,474
+3
F-score:
58th place
34
0

Catalan Wikipedia (ca)

PR-score:
37th place
13,844
-20,904
AR-score:
35th place
5,373
+4
F-score:
27th place
26
0

Latvian Wikipedia (lv)

PR-score:
4th place
6,979
-69,747
AR-score:
2nd place
6,906
+12
F-score:
2nd place
24
0

Basque Wikipedia (eu)

PR-score:
177th place
1,199
-1,394
AR-score:
41st place
1,507
0
F-score:
3rd place
31
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...