fop.net

The Fraternal Order of Police is a fraternal organization consisting of sworn law enforcement officers in the United States. It reports a membership of over 330,000 members organized in 2,200 local chapters, state lodges, and the national Grand Lodge. The organization attempts to improve the working conditions of law enforcement officers and the safety of those they serve through education, legislation, information, community involvement, and employee representation. More information...

Multilingual Wikipedia

In June 2020 the website fop.net was on the 42,057th 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 161,829th place in June 2020. From Wikipedians' point of view, "fop.net" is the 204,901st most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before gmcro.co.uk and after magyarkozlony.hu in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
42,057th place
543,303
+67,735
AR-score:
204,901st place
11,589
-696
F-score:
161,829th place
40
+3

English Wikipedia (en)

PR-score:
26,979th place
449,931
-24,638
AR-score:
103,025th place
11,044
-798
F-score:
72,070th place
34
+1

Chinese Wikipedia (zh)

PR-score:
9,749th place
81,682
+81,256
AR-score:
136,140th place
100
+83
F-score:
90,138th place
2
+1

Greek Wikipedia (el)

PR-score:
6,161st place
7,780
+7,780
AR-score:
61,546th place
16
+16
F-score:
69,687th place
1
+1

Romanian Wikipedia (ro)

PR-score:
12,691st place
2,489
+2,405
AR-score:
64,288th place
4
+3
F-score:
66,875th place
1
0

German Wikipedia (de)

PR-score:
237,053rd place
1,214
+829
AR-score:
259,554th place
414
0
F-score:
261,185th place
1
0

Spanish Wikipedia (es)

PR-score:
282,102nd place
204
+103
AR-score:
347,474th place
10
+1
F-score:
294,582nd 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...