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The SBF Survey of Galaxy Distances. IV. SBF Magnitudes, Colors, and Distances

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Multilingual Wikipedia

In June 2020 the work The SBF Survey of Galaxy Distances. IV. SBF Magnitudes, Colors, and Distances was on the 36,523rd 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 399th place in June 2020. From Wikipedians' point of view, "The SBF Survey of Galaxy Distances. IV. SBF Magnitudes, Colors, and Distances" is the 780th most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
36,523rd place
66,253
-24,915
AR-score:
780th place
37,279
-14
F-score:
399th place
232
0

English Wikipedia (en)

PR-score:
32,820th place
54,028
-20,530
AR-score:
2,707th place
13,683
-50
F-score:
1,811th place
37
0

Russian Wikipedia (ru)

PR-score:
25,637th place
1,711
-619
AR-score:
1,181st place
2,340
0
F-score:
7,690th place
3
0

Italian Wikipedia (it)

PR-score:
17,870th place
1,511
-510
AR-score:
1,023rd place
2,315
-20
F-score:
1,053rd place
8
0

Chinese Wikipedia (zh)

PR-score:
25,867th place
1,477
-173
AR-score:
1,039th place
1,699
0
F-score:
330th place
17
0

Japanese Wikipedia (ja)

PR-score:
34,095th place
1,099
-268
AR-score:
9,708th place
354
0
F-score:
2,011th place
8
0

Turkish Wikipedia (tr)

PR-score:
4,516th place
792
-141
AR-score:
48th place
4,076
+9
F-score:
29th place
22
0

Arabic Wikipedia (ar)

PR-score:
21,114th place
622
+106
AR-score:
167th place
3,380
0
F-score:
240th place
17
0

Ukrainian Wikipedia (uk)

PR-score:
11,339th place
178
-933
AR-score:
120th place
2,628
0
F-score:
1,383rd place
4
0

Norwegian Wikipedia (no)

PR-score:
3,255th place
157
-28
AR-score:
559th place
767
0
F-score:
30th place
18
0
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Wikipedia Languages

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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