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Measurement of the diameter of alpha Orionis with the interferometer.

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Multilingual Wikipedia

In June 2020 the work Measurement of the diameter of alpha Orionis with the interferometer. was on the 13,333rd 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 4,032nd place in June 2020. From Wikipedians' point of view, "Measurement of the diameter of alpha Orionis with the interferometer." is the 6,737th most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
13,333rd place
126,713
-40,895
AR-score:
6,737th place
12,730
-5
F-score:
4,032nd place
58
0

English Wikipedia (en)

PR-score:
28,726th place
59,046
-14,181
AR-score:
23,791st place
4,540
+5
F-score:
30,226th place
8
0

Chinese Wikipedia (zh)

PR-score:
2,957th place
15,725
-682
AR-score:
4,584th place
618
+1
F-score:
1,847th place
6
0

Spanish Wikipedia (es)

PR-score:
11,615th place
10,990
-5,396
AR-score:
10,211th place
764
+1
F-score:
10,585th place
2
0

Russian Wikipedia (ru)

PR-score:
8,164th place
9,892
-4,175
AR-score:
8,946th place
562
-16
F-score:
24,379th place
1
0

French Wikipedia (fr)

PR-score:
7,183rd place
8,461
-2,894
AR-score:
4,135th place
1,601
0
F-score:
13,147th place
2
0

Japanese Wikipedia (ja)

PR-score:
11,198th place
6,582
-2,586
AR-score:
13,276th place
247
+1
F-score:
3,633rd place
5
0

Dutch Wikipedia (nl)

PR-score:
2,882nd place
1,433
-567
AR-score:
559th place
2,233
0
F-score:
2,669th place
1
0

Korean Wikipedia (ko)

PR-score:
10,632nd place
663
-481
AR-score:
8,293rd place
118
0
F-score:
1,363rd place
4
0

Catalan Wikipedia (ca)

PR-score:
12,163rd place
146
-167
AR-score:
12,304th place
121
0
F-score:
713th place
5
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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