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Stabilized Arsenic(I) Iodide:  A Ready Source of Arsenic Iodide Fragments and a Useful Reagent for the Generation of Clusters

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Multilingual Wikipedia

In June 2020 the work Stabilized Arsenic(I) Iodide:  A Ready Source of Arsenic Iodide Fragments and a Useful Reagent for the Generation of Clusters was on the 30,326th 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 13,027th place in June 2020. From Wikipedians' point of view, "Stabilized Arsenic(I) Iodide:  A Ready Source of Arsenic Iodide Fragments and a Useful Reagent for the Generation of Clusters" is the 8,237th most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
30,326th place
75,367
-8,721
AR-score:
8,237th place
11,501
+91
F-score:
13,027th place
29
0

Japanese Wikipedia (ja)

PR-score:
2,512th place
27,530
+2,640
AR-score:
2,594th place
1,120
+59
F-score:
32,037th place
1
0

Persian Wikipedia (fa)

PR-score:
425th place
9,112
0
AR-score:
396th place
1,237
0
F-score:
4,741st place
1
0

Arabic Wikipedia (ar)

PR-score:
1,351st place
8,542
+28
AR-score:
932nd place
1,628
0
F-score:
22,859th place
1
0

German Wikipedia (de)

PR-score:
17,442nd place
8,472
-2,811
AR-score:
58,406th place
140
0
F-score:
55,774th place
1
0

Indonesian Wikipedia (id)

PR-score:
523rd place
7,437
-516
AR-score:
240th place
1,268
0
F-score:
2,864th place
2
0

Bulgarian Wikipedia (bg)

PR-score:
845th place
3,261
-339
AR-score:
471st place
615
0
F-score:
1,587th place
1
0

Aragonese Wikipedia (an)

PR-score:
31st place
250
-200
AR-score:
22nd place
475
0
F-score:
31st place
1
0

South Azerbaijani Wikipedia (azb)

PR-score:
82nd place
240
+40
AR-score:
4th place
1,260
0
F-score:
113th 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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