elizabethan-era.org.uk

Multilingual Wikipedia

In June 2020 the website elizabethan-era.org.uk was on the 45,505th place in the ranking of the most reliable and popular sources 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 website was on the 64,328th place in June 2020. From Wikipedians' point of view, "elizabethan-era.org.uk" is the 32,020th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before cherscholar.com and after ykone.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
45,505th place
495,108
-139,276
AR-score:
32,020th place
106,246
+1,263
F-score:
64,328th place
126
+1

English Wikipedia (en)

PR-score:
41,463rd place
271,581
-69,005
AR-score:
26,050th place
55,636
+1,274
F-score:
84,261st place
28
+1

Spanish Wikipedia (es)

PR-score:
23,267th place
70,343
-16,805
AR-score:
22,411th place
8,568
+103
F-score:
74,965th place
4
0

German Wikipedia (de)

PR-score:
26,754th place
53,118
+2,401
AR-score:
28,135th place
8,727
+18
F-score:
57,513th place
7
0

Portuguese Wikipedia (pt)

PR-score:
19,125th place
28,983
-6,185
AR-score:
22,069th place
3,593
-130
F-score:
47,334th place
4
0

Russian Wikipedia (ru)

PR-score:
70,899th place
14,649
-18,828
AR-score:
61,462nd place
2,124
-47
F-score:
81,785th place
4
0

Danish Wikipedia (da)

PR-score:
4,901st place
7,695
-492
AR-score:
2,128th place
7,041
0
F-score:
4,623rd place
9
0

Chinese Wikipedia (zh)

PR-score:
50,679th place
7,629
-4,821
AR-score:
31,859th place
1,633
0
F-score:
33,473rd place
6
0

Finnish Wikipedia (fi)

PR-score:
13,058th place
4,727
-5,047
AR-score:
20,571st place
1,518
0
F-score:
21,840th place
5
0

Norwegian Wikipedia (no)

PR-score:
9,717th place
3,175
-525
AR-score:
5,989th place
4,475
0
F-score:
25,279th place
2
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...