kominfo.go.id

Multilingual Wikipedia

In June 2020 the website kominfo.go.id was on the 51,635th 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 54,323rd place in June 2020. From Wikipedians' point of view, "kominfo.go.id" is the 54,115th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before novonordisk.com and after bashstat.ru in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
51,635th place
428,047
-61,413
AR-score:
54,115th place
56,573
-4,390
F-score:
54,323rd place
157
+1

Indonesian Wikipedia (id)

PR-score:
402nd place
268,698
+19,458
AR-score:
467th place
40,294
+262
F-score:
1,095th place
125
0

English Wikipedia (en)

PR-score:
65,564th place
157,283
-81,059
AR-score:
78,194th place
15,168
-4,669
F-score:
124,471st place
18
0

Korean Wikipedia (ko)

PR-score:
29,983rd place
774
+58
AR-score:
52,019th place
38
+13
F-score:
25,740th place
2
0

Javanese Wikipedia (jv)

PR-score:
1,198th place
725
+50
AR-score:
3,622nd place
400
0
F-score:
5,969th place
2
0

Minangkabau Wikipedia (min)

PR-score:
1,286th place
175
0
AR-score:
265th place
400
0
F-score:
543rd place
4
0

Bengali Wikipedia (bn)

PR-score:
18,347th place
145
+16
AR-score:
16,368th place
167
0
F-score:
20,694th place
1
0

French Wikipedia (fr)

PR-score:
346,841st place
110
+50
AR-score:
378,067th place
50
0
F-score:
402,164th place
1
0

Malay Wikipedia (ms)

PR-score:
23,754th place
107
-14
AR-score:
26,223rd place
45
0
F-score:
19,440th place
2
0

Nepali Wikipedia (ne)

PR-score:
6,144th place
26
+26
AR-score:
8,636th place
3
+3
F-score:
6,638th place
1
+1

Urdu Wikipedia (ur)

PR-score:
18,068th place
2
+1
AR-score:
18,124th place
4
0
F-score:
11,536th 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...