Bibliogifts in LibGen? A study of a text-sharing platform driven by biblioleaks and crowdsourcing

Multilingual Wikipedia

In June 2020 the work Bibliogifts in LibGen? A study of a text-sharing platform driven by biblioleaks and crowdsourcing was on the 83rd 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 11,705th place in June 2020. From Wikipedians' point of view, "Bibliogifts in LibGen? A study of a text-sharing platform driven by biblioleaks and crowdsourcing" is the 49,207th most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
83rd place
1,593,087
-383,044
AR-score:
49,207th place
3,986
+215
F-score:
11,705th place
31
0

English Wikipedia (en)

PR-score:
226th place
705,829
-197,635
AR-score:
178,862nd place
1,161
+32
F-score:
348,313th place
2
0

Chinese Wikipedia (zh)

PR-score:
19th place
309,456
+1,176
AR-score:
1,980th place
1,126
+100
F-score:
14,969th place
2
0

Spanish Wikipedia (es)

PR-score:
425th place
179,760
-30,580
AR-score:
25,469th place
250
+50
F-score:
60,971st place
1
0

Italian Wikipedia (it)

PR-score:
36th place
154,253
-100,539
AR-score:
27,352nd place
130
0
F-score:
46,836th place
1
0

French Wikipedia (fr)

PR-score:
174th place
95,280
-17,613
AR-score:
36,000th place
180
+34
F-score:
64,604th place
1
0

Russian Wikipedia (ru)

PR-score:
2,156th place
31,522
-7,582
AR-score:
19,037th place
244
0
F-score:
9,824th place
3
0

Korean Wikipedia (ko)

PR-score:
528th place
16,847
-7,796
AR-score:
11,190th place
77
0
F-score:
2,672nd place
3
0

Hungarian Wikipedia (hu)

PR-score:
594th place
4,342
-1,496
AR-score:
9,021st place
47
0
F-score:
2,982nd place
2
0

Thai Wikipedia (th)

PR-score:
624th place
3,316
-229
AR-score:
3,416th place
64
0
F-score:
1,539th place
3
0
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Popularity and reliability assessment of sources in references of Wikipedia in different languages. Data extraction based on complex method using Wikimedia dumps in July 2020. To find the most popular and reliable sources we used information about over 200 million references of Wikipedia articles. More details in the research "Modeling Popularity and Reliability of Sources in Multilingual Wikipedia". Values for PR-score and AR-score were additinaly increased 100 times (to distinguish smaller values in the ranking).

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