tagar.id

Multilingual Wikipedia

In June 2020 the website tagar.id was on the 65,550th 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 59,835th place in June 2020. From Wikipedians' point of view, "tagar.id" is the 133,417th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before aerztekammer-bw.de and after jsexmed.org in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
65,550th place
323,011
+97,221
AR-score:
133,417th place
19,262
+2,277
F-score:
59,835th place
139
+6

Indonesian Wikipedia (id)

PR-score:
361st place
302,508
+99,944
AR-score:
1,161st place
16,286
+2,159
F-score:
1,289th place
103
+6

English Wikipedia (en)

PR-score:
325,009th place
18,570
-2,435
AR-score:
388,620th place
2,175
+9
F-score:
160,359th place
13
0

Polish Wikipedia (pl)

PR-score:
77,339th place
1,308
+275
AR-score:
106,914th place
233
0
F-score:
53,214th place
4
0

Malay Wikipedia (ms)

PR-score:
17,102nd place
240
-173
AR-score:
37,615th place
13
0
F-score:
19,648th place
2
0

Korean Wikipedia (ko)

PR-score:
48,843rd place
106
-267
AR-score:
29,386th place
266
+106
F-score:
7,213th place
8
0

Javanese Wikipedia (jv)

PR-score:
5,442nd place
84
-11
AR-score:
6,261st place
156
0
F-score:
3,333rd place
3
0

Minangkabau Wikipedia (min)

PR-score:
1,714th place
83
+18
AR-score:
1,336th place
43
0
F-score:
678th place
3
0

Gorontalo Wikipedia (gor)

PR-score:
246th place
45
+29
AR-score:
239th place
11
+2
F-score:
260th place
1
0

Sundanese Wikipedia (su)

PR-score:
3,935th place
35
-88
AR-score:
5,451st place
2
0
F-score:
5,665th place
1
0

French Wikipedia (fr)

PR-score:
393,743rd place
28
-72
AR-score:
359,342nd place
71
0
F-score:
401,412th place
1
0

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...