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Contribution of new cryomethods to a better knowledge of bacterial anatomy

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Multilingual Wikipedia

In June 2020 the work Contribution of new cryomethods to a better knowledge of bacterial anatomy was on the 8,186th 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 23,708th place in June 2020. From Wikipedians' point of view, "Contribution of new cryomethods to a better knowledge of bacterial anatomy" is the 4,185th most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
8,186th place
167,617
-53,699
AR-score:
4,185th place
16,358
-263
F-score:
23,708th place
20
0

English Wikipedia (en)

PR-score:
9,814th place
113,202
-38,841
AR-score:
5,099th place
10,200
-275
F-score:
85,754th place
4
0

Japanese Wikipedia (ja)

PR-score:
6,172nd place
12,166
-5,338
AR-score:
27,086th place
86
0
F-score:
16,443rd place
2
0

Spanish Wikipedia (es)

PR-score:
13,301st place
9,321
-2,905
AR-score:
10,668th place
726
0
F-score:
32,420th place
1
0

Simple English Wikipedia (simple)

PR-score:
124th place
8,668
-3,213
AR-score:
1,290th place
493
0
F-score:
2,037th place
1
0

Arabic Wikipedia (ar)

PR-score:
1,417th place
8,266
+3,433
AR-score:
3,260th place
833
0
F-score:
42,115th place
1
0

Basque Wikipedia (eu)

PR-score:
81st place
2,000
-2,300
AR-score:
107th place
933
0
F-score:
2,790th place
1
0

Tamil Wikipedia (ta)

PR-score:
825th place
500
-100
AR-score:
175th place
750
0
F-score:
6,891st place
1
0

Catalan Wikipedia (ca)

PR-score:
6,446th place
389
-300
AR-score:
11,747th place
126
+5
F-score:
13,322nd place
1
0

Galician Wikipedia (gl)

PR-score:
2,757th place
131
-122
AR-score:
1,500th place
168
0
F-score:
3,491st place
2
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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