Ancient times table hidden in Chinese bamboo strips in June 2020

Multilingual Wikipedia

In June 2020 the work Ancient times table hidden in Chinese bamboo strips was on the 2,612th 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 10,544th place in June 2020. From Wikipedians' point of view, "Ancient times table hidden in Chinese bamboo strips" is the 755th most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
2,612th place
311,009
-87,208
AR-score:
755th place
37,904
+58
F-score:
10,544th place
33
0

English Wikipedia

PR-score:
1,967th place
262,163
-64,240
AR-score:
427th place
32,316
+58
F-score:
17,387th place
11
0

Russian Wikipedia

PR-score:
3,322nd place
22,760
-16,340
AR-score:
622nd place
3,260
0
F-score:
13,078th place
2
0

Hebrew Wikipedia

PR-score:
141st place
12,350
-3,750
AR-score:
788th place
650
0
F-score:
1,306th place
1
0

Persian Wikipedia

PR-score:
1,311th place
3,600
-1,636
AR-score:
2,569th place
327
0
F-score:
1,188th place
3
0

Tamil Wikipedia

PR-score:
30th place
3,566
+100
AR-score:
3,114th place
100
0
F-score:
551st place
3
0

Simple English Wikipedia

PR-score:
640th place
2,050
-500
AR-score:
1,150th place
550
0
F-score:
4,854th place
1
0

Ukrainian Wikipedia

PR-score:
5,331st place
669
-663
AR-score:
3,672nd place
209
0
F-score:
2,244th place
3
0

Serbian Wikipedia

PR-score:
5,021st place
400
-400
AR-score:
8,440th place
100
0
F-score:
1,830th 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. 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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