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Polyhedral organelles compartmenting bacterial metabolic processes

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Multilingual Wikipedia

In June 2020 the work Polyhedral organelles compartmenting bacterial metabolic processes was on the 91,404th 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 50,685th place in June 2020. From Wikipedians' point of view, "Polyhedral organelles compartmenting bacterial metabolic processes" is the 107,452nd most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
91,404th place
33,012
-20,641
AR-score:
107,452nd place
2,293
-224
F-score:
50,685th place
12
0

English Wikipedia (en)

PR-score:
189,996th place
12,647
-3,844
AR-score:
280,412th place
743
0
F-score:
633,031st place
1
0

Polish Wikipedia (pl)

PR-score:
9,439th place
3,976
-2,054
AR-score:
15,837th place
213
+1
F-score:
24,245th place
1
0

Russian Wikipedia (ru)

PR-score:
17,172nd place
3,624
-5,711
AR-score:
21,603rd place
202
0
F-score:
24,548th place
1
0

Portuguese Wikipedia (pt)

PR-score:
10,480th place
3,402
-3,708
AR-score:
9,866th place
332
-224
F-score:
15,434th place
1
0

Turkish Wikipedia (tr)

PR-score:
1,549th place
2,741
-987
AR-score:
3,524th place
176
0
F-score:
3,449th place
1
0

Danish Wikipedia (da)

PR-score:
540th place
2,015
-412
AR-score:
810th place
272
0
F-score:
1,671st place
1
0

Arabic Wikipedia (ar)

PR-score:
7,674th place
1,956
-183
AR-score:
31,741st place
109
0
F-score:
22,032nd place
1
0

Lithuanian Wikipedia (lt)

PR-score:
192nd place
929
-1,508
AR-score:
388th place
105
0
F-score:
285th place
1
0

Catalan Wikipedia (ca)

PR-score:
4,155th place
632
-452
AR-score:
23,144th place
46
0
F-score:
10,988th place
1
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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