CCITT Recommendations on the ISDN: A Review

Multilingual Wikipedia

In June 2020 the work CCITT Recommendations on the ISDN: A Review was on the 3,892nd place in the ranking of the most reliable and popular publications with DOI number 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 work was on the 74,837th place in June 2020. From Wikipedians' point of view, "CCITT Recommendations on the ISDN: A Review" is the 984th most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
3,892nd place
255,265
-11,162
AR-score:
984th place
33,382
+18
F-score:
74,837th place
10
0

French Wikipedia (fr)

PR-score:
50th place
158,700
+7,600
AR-score:
25th place
17,200
+100
F-score:
26,220th place
1
0

Spanish Wikipedia (es)

PR-score:
4,513th place
30,200
-6,166
AR-score:
1,507th place
3,788
+11
F-score:
25,278th place
1
0

English Wikipedia (en)

PR-score:
89,565th place
25,865
-7,512
AR-score:
47,798th place
2,993
-94
F-score:
382,254th place
1
0

Portuguese Wikipedia (pt)

PR-score:
1,155th place
23,800
-3,450
AR-score:
631st place
2,700
0
F-score:
18,814th place
1
0

Korean Wikipedia (ko)

PR-score:
1,751st place
6,366
+166
AR-score:
621st place
1,266
0
F-score:
7,025th place
1
0

Norwegian Wikipedia (no)

PR-score:
236th place
3,500
-1,750
AR-score:
121st place
2,200
0
F-score:
3,133rd place
1
0

Persian Wikipedia (fa)

PR-score:
1,791st place
2,700
+700
AR-score:
366th place
1,300
0
F-score:
5,661st place
1
0

Burmese Wikipedia (my)

PR-score:
12th place
2,200
+100
AR-score:
8th place
1,500
0
F-score:
576th place
1
0

Afrikaans Wikipedia (af)

PR-score:
84th place
1,500
-600
AR-score:
283rd place
300
0
F-score:
5,752nd place
1
0

Macedonian Wikipedia (mk)

PR-score:
700th place
433
-250
AR-score:
713th place
133
0
F-score:
4,489th 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...