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Protein Structures Forming the Shell of Primitive Bacterial Organelles

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Multilingual Wikipedia

In June 2020 the work Protein Structures Forming the Shell of Primitive Bacterial Organelles was on the 6,028th 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 2,777th place in June 2020. From Wikipedians' point of view, "Protein Structures Forming the Shell of Primitive Bacterial Organelles" is the 1,588th most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
6,028th place
201,062
-72,750
AR-score:
1,588th place
26,398
-192
F-score:
2,777th place
71
0

English Wikipedia (en)

PR-score:
15,511th place
86,761
-28,555
AR-score:
3,394th place
12,347
+16
F-score:
9,840th place
15
0

French Wikipedia (fr)

PR-score:
1,691st place
25,700
-9,228
AR-score:
2,170th place
2,400
0
F-score:
29,208th place
1
0

Portuguese Wikipedia (pt)

PR-score:
1,606th place
18,748
-8,293
AR-score:
1,213th place
1,853
-219
F-score:
981st place
8
0

Simple English Wikipedia (simple)

PR-score:
54th place
17,337
-6,425
AR-score:
650th place
987
0
F-score:
572nd place
2
0

Serbian Wikipedia (sr)

PR-score:
100th place
8,441
+808
AR-score:
1,392nd place
441
0
F-score:
3,389th place
2
0

Russian Wikipedia (ru)

PR-score:
15,974th place
4,106
-5,881
AR-score:
12,363rd place
409
0
F-score:
7,295th place
3
0

Arabic Wikipedia (ar)

PR-score:
3,939th place
3,679
-133
AR-score:
11,058th place
328
0
F-score:
1,978th place
5
0

Latin Wikipedia (la)

PR-score:
66th place
550
-100
AR-score:
48th place
900
0
F-score:
248th place
1
0

Galician Wikipedia (gl)

PR-score:
1,256th place
241
+50
AR-score:
525th place
364
0
F-score:
139th place
11
0
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Wikipedia Languages

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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