iptek.net.id

Multilingual Wikipedia

In June 2020 the website iptek.net.id was on the 86,872nd 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 17,151st place in June 2020. From Wikipedians' point of view, "iptek.net.id" is the 52,647th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before lee.net and after tribunemedia.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
86,872nd place
230,807
-23,258
AR-score:
52,647th place
58,371
+45
F-score:
17,151st place
640
0

Indonesian Wikipedia (id)

PR-score:
647th place
167,028
-16,612
AR-score:
1,083rd place
17,400
+29
F-score:
829th place
166
0

English Wikipedia (en)

PR-score:
176,034th place
45,592
-1,476
AR-score:
259,651st place
3,666
0
F-score:
336,383rd place
5
0

Javanese Wikipedia (jv)

PR-score:
154th place
6,090
-5,587
AR-score:
62nd place
20,272
0
F-score:
55th place
206
0

Sundanese Wikipedia (su)

PR-score:
88th place
5,579
-727
AR-score:
21st place
13,980
0
F-score:
21st place
228
0

Malay Wikipedia (ms)

PR-score:
2,976th place
4,016
+1,516
AR-score:
2,923rd place
1,516
0
F-score:
13,752nd place
2
0

French Wikipedia (fr)

PR-score:
216,582nd place
953
-279
AR-score:
180,846th place
589
+16
F-score:
102,907th place
4
0

Tamil Wikipedia (ta)

PR-score:
5,833rd place
700
+334
AR-score:
7,960th place
400
0
F-score:
23,643rd place
1
0

Banyumasan Wikipedia (map-bms)

PR-score:
304th place
410
-470
AR-score:
138th place
342
0
F-score:
20th place
18
0

Minangkabau Wikipedia (min)

PR-score:
1,142nd place
225
+134
AR-score:
536th place
191
0
F-score:
194th place
9
0

Banjar Wikipedia (bjn)

PR-score:
366th place
210
-90
AR-score:
671st place
10
0
F-score:
539th 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...