Nauka i Zhizn is a science magazine first issued during the years 1890–1900 in Imperial Russia, and then since 1934 in the Soviet Union. More information...

Multilingual Wikipedia

In June 2020 the website nkj.ru was on the 2,105th 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 5,156th place in June 2020. From Wikipedians' point of view, "nkj.ru" is the 3,811th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before tf1.fr and after politiken.dk in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
2,105th place
17,025,062
-7,766,554
AR-score:
3,811th place
1,249,839
-1,144
F-score:
5,156th place
2,597
+11

Russian Wikipedia (ru)

PR-score:
133rd place
15,284,077
-6,537,487
AR-score:
186th place
1,094,996
-1,498
F-score:
396th place
1,885
+7

English Wikipedia (en)

PR-score:
11,978th place
1,173,257
-378,198
AR-score:
30,160th place
46,840
-483
F-score:
31,127th place
98
-1

Ukrainian Wikipedia (uk)

PR-score:
460th place
282,678
-693,721
AR-score:
849th place
40,746
+355
F-score:
1,381st place
159
+1

Spanish Wikipedia (es)

PR-score:
19,553rd place
87,898
-59,832
AR-score:
18,546th place
10,699
0
F-score:
33,904th place
11
0

Portuguese Wikipedia (pt)

PR-score:
18,740th place
29,762
-16,443
AR-score:
45,587th place
1,444
0
F-score:
48,908th place
4
0

Bulgarian Wikipedia (bg)

PR-score:
2,092nd place
28,362
-6,461
AR-score:
2,294th place
6,092
0
F-score:
2,257th place
21
0

Armenian Wikipedia (hy)

PR-score:
988th place
7,728
-9,200
AR-score:
983rd place
5,767
+104
F-score:
862nd place
94
+2

Belarusian Wikipedia (be)

PR-score:
639th place
3,996
-391
AR-score:
431st place
6,027
+1
F-score:
442nd place
59
0
Show all Wikipedia languages...

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...