elsevier.nl

Elsevier Weekblad, formerly known as Elsevier, is a Dutch weekly news magazine. With a circulation of over 68,000 copies as of 2018, it is the Netherlands' most popular news magazine. Its chief editor is Arendo Joustra. More information...

Multilingual Wikipedia

In June 2020 the website elsevier.nl was on the 7,601st 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 9,608th place in June 2020. From Wikipedians' point of view, "elsevier.nl" is the 5,923rd most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before thepage.jp and after philology.ru in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
7,601st place
4,040,235
-90,791
AR-score:
5,923rd place
764,807
-5,809
F-score:
9,608th place
1,276
-3

Dutch Wikipedia (nl)

PR-score:
99th place
2,888,489
+59,061
AR-score:
139th place
517,269
-4,086
F-score:
165th place
720
-3

English Wikipedia (en)

PR-score:
15,566th place
862,933
-89,374
AR-score:
10,877th place
152,744
-1,239
F-score:
14,401st place
252
0

German Wikipedia (de)

PR-score:
14,347th place
107,456
-16,317
AR-score:
11,945th place
21,639
-13
F-score:
23,973rd place
19
0

Japanese Wikipedia (ja)

PR-score:
34,556th place
29,231
+4,745
AR-score:
15,680th place
6,739
+18
F-score:
38,446th place
8
0

Russian Wikipedia (ru)

PR-score:
47,192nd place
27,482
-17,000
AR-score:
25,248th place
6,237
-996
F-score:
22,277th place
23
0

Turkish Wikipedia (tr)

PR-score:
5,446th place
23,213
-8,927
AR-score:
3,978th place
8,088
+100
F-score:
9,906th place
7
0

Armenian Wikipedia (hy)

PR-score:
6,951st place
804
-289
AR-score:
8,303rd place
610
0
F-score:
3,762nd place
18
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...