sofse.gob.ar

Ramal Berazategui-Bosques is the branch line in Argentina.

Multilingual Wikipedia

In June 2020 the website sofse.gob.ar was on the 95,186th 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 87,209th place in June 2020. From Wikipedians' point of view, "sofse.gob.ar" is the 48,997th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before sartraccc.ru and after segobver.gob.mx in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
95,186th place
206,873
-8,719
AR-score:
48,997th place
63,551
+174
F-score:
87,209th place
87
0

Spanish Wikipedia (es)

PR-score:
11,887th place
160,069
-171
AR-score:
4,545th place
54,694
+139
F-score:
9,317th place
52
0

English Wikipedia (en)

PR-score:
181,487th place
43,821
-7,058
AR-score:
139,698th place
7,718
+35
F-score:
115,566th place
19
0

Portuguese Wikipedia (pt)

PR-score:
101,757th place
1,592
-186
AR-score:
96,206th place
407
0
F-score:
55,584th place
4
0

Japanese Wikipedia (ja)

PR-score:
171,772nd place
667
-820
AR-score:
117,511th place
325
0
F-score:
86,310th place
3
0

Polish Wikipedia (pl)

PR-score:
115,223rd place
334
-375
AR-score:
141,955th place
86
0
F-score:
42,368th place
5
0

French Wikipedia (fr)

PR-score:
291,229th place
305
-51
AR-score:
266,799th place
237
0
F-score:
218,055th place
1
0

Russian Wikipedia (ru)

PR-score:
327,385th place
47
-41
AR-score:
291,123rd place
57
0
F-score:
236,061st place
1
0

Armenian Wikipedia (hy)

PR-score:
52,662nd place
20
-8
AR-score:
60,193rd place
16
0
F-score:
33,236th place
1
0

Asturian Wikipedia (ast)

PR-score:
39,564th place
14
-10
AR-score:
47,418th place
9
0
F-score:
30,754th 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...