kbptula.ru

JSC Konstruktorskoe Buro Priborostroeniya is one of the main enterprises in the field of Russian defense industry, based in Tula. It is engaged in designing high-precision weapon systems for the Army, the VMF and the VKS, as well as anti-air defense systems, high-rate-of-fire cannons and small arms, in addition to civilian products. Its full name goes as "Joint-Stock Company Instrument Design Bureau named after Academic A. G. Shipunov". Its shareholders include High Precision Systems, part of the State Corporation Rostec. More information...

Multilingual Wikipedia

In June 2020 the website kbptula.ru was on the 15,771st 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 23,397th place in June 2020. From Wikipedians' point of view, "kbptula.ru" is the 27,673rd most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before larioja.com and after madonna-av.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
15,771st place
1,736,772
-304,659
AR-score:
27,673rd place
126,250
+565
F-score:
23,397th place
438
+1

English Wikipedia (en)

PR-score:
16,449th place
811,165
-94,215
AR-score:
36,501st place
37,345
+516
F-score:
32,183rd place
94
+1

Russian Wikipedia (ru)

PR-score:
2,696th place
756,472
-187,316
AR-score:
3,360th place
60,167
+67
F-score:
4,747th place
147
0

German Wikipedia (de)

PR-score:
20,641st place
71,555
+1,782
AR-score:
25,201st place
9,785
-75
F-score:
21,478th place
22
0

Chinese Wikipedia (zh)

PR-score:
13,381st place
55,502
-3,630
AR-score:
9,443rd place
6,856
+33
F-score:
6,683rd place
43
0

Ukrainian Wikipedia (uk)

PR-score:
10,370th place
9,005
-5,192
AR-score:
6,442nd place
4,753
+11
F-score:
3,980th place
48
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...