reptile-database.org

Multilingual Wikipedia

In June 2020 the website reptile-database.org was on the 17,193rd 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 26,222nd place in June 2020. From Wikipedians' point of view, "reptile-database.org" is the 14,666th most reliable source in different language versions of Wikipedia (AR-score).

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

PR-score:
17,193rd place
1,566,470
-597,789
AR-score:
14,666th place
268,092
+8,567
F-score:
26,222nd place
383
+35

German Wikipedia (de)

PR-score:
3,735th place
478,154
-86,907
AR-score:
6,302nd place
43,495
+112
F-score:
13,412th place
37
0

Dutch Wikipedia (nl)

PR-score:
1,168th place
216,616
-83,704
AR-score:
1,284th place
44,536
+46
F-score:
2,668th place
32
0

Russian Wikipedia (ru)

PR-score:
9,000th place
207,390
-101,135
AR-score:
10,525th place
16,777
+2
F-score:
23,806th place
21
0

Norwegian Wikipedia (no)

PR-score:
440th place
105,132
-81,264
AR-score:
827th place
38,418
+116
F-score:
5,069th place
15
0

English Wikipedia (en)

PR-score:
125,906th place
70,503
-22,697
AR-score:
112,768th place
9,926
+34
F-score:
251,870th place
7
0

Polish Wikipedia (pl)

PR-score:
7,910th place
59,188
-30,495
AR-score:
4,950th place
16,852
+1
F-score:
9,735th place
30
0

Italian Wikipedia (it)

PR-score:
11,418th place
54,384
-38,917
AR-score:
7,530th place
19,748
+120
F-score:
27,892nd place
10
0

Korean Wikipedia (ko)

PR-score:
3,890th place
24,203
+24,203
AR-score:
2,463rd place
8,032
+8,032
F-score:
2,142nd place
33
+33

Estonian Wikipedia (et)

PR-score:
660th place
15,370
-22,754
AR-score:
243rd place
24,855
0
F-score:
352nd place
117
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...