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Caroli Linnaei...Systema naturae per regna tria naturae :secundum classes, ordines, genera, species, cum characteribus, differentiis, synonymis, locis...

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Multilingual Wikipedia

In June 2020 the work Caroli Linnaei...Systema naturae per regna tria naturae :secundum classes, ordines, genera, species, cum characteribus, differentiis, synonymis, locis... was on the 2,317th 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 2,673rd place in June 2020. From Wikipedians' point of view, "Caroli Linnaei...Systema naturae per regna tria naturae :secundum classes, ordines, genera, species, cum characteribus, differentiis, synonymis, locis..." is the 1,832nd most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
2,317th place
330,590
+158,277
AR-score:
1,832nd place
24,649
+7,195
F-score:
2,673rd place
73
+4

Spanish Wikipedia (es)

PR-score:
305th place
225,917
+171,489
AR-score:
223rd place
11,856
+7,163
F-score:
152nd place
25
+4

English Wikipedia (en)

PR-score:
57,449th place
36,396
-4,500
AR-score:
45,920th place
3,065
+13
F-score:
49,808th place
6
0

Indonesian Wikipedia (id)

PR-score:
106th place
22,825
-2,700
AR-score:
61st place
2,750
0
F-score:
3,147th place
2
0

Italian Wikipedia (it)

PR-score:
1,248th place
18,351
-3,188
AR-score:
386th place
3,859
0
F-score:
1,333rd place
7
0

French Wikipedia (fr)

PR-score:
6,544th place
9,221
-2,860
AR-score:
8,902nd place
881
0
F-score:
9,014th place
3
0

German Wikipedia (de)

PR-score:
19,828th place
7,171
+876
AR-score:
18,071st place
883
0
F-score:
2,810th place
6
0

Asturian Wikipedia (ast)

PR-score:
3,235th place
29
+7
AR-score:
2,438th place
38
0
F-score:
108th place
8
0
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About the project

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...

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