Finnish Wikipedia

WikiRank.net
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Popular articles in February 2019 (9901-10000)

# Changes Title Quality
9901-2449Moolok
20.4906
9902+322Junkers Ju 88
45.6828
9903-2244Silikoni
2.06
9904-2856Nobelin kirjallisuuspalkinto
25.3886
9905+338Porsche
64.3581
9906-652Yle Radio Suomi
29.2417
9907+10853Esa Pakarinen Junior
13.8658
9908+193Aivosähkökäyrä
14.5673
9909-3272Wihuri
34.6304
9910+2923Katju Aro
26.6008
9911+11464Antiikin Kreikan arkkitehtuuri
2.7961
9912+3429Viktoriaaninen aikakausi
9.8706
9913+3550Suomen suuriruhtinaskunnan armeija
30.5517
9914-549Sony
37.9658
9915-401Härkä
3.9098
9916+2776Prostaglandiinit
3.0349
9917+2203Vanuatu
67.0789
9918-319Antwerpen
35.1859
9919+594Kansalaisuus
9.5105
9920+326Kaali
22.9475
9921+854Pannukakku
17.6827
9922-5417Poliisit
42.315
9923-7552Tammikuu
19.3443
9924+4921Tesla Model 3
31.418
9925+7524Heterosyklinen yhdiste
15.187
9926+501Vahingonkorvausoikeus
19.0864
9927-446Desimaaliluku
9.2572
9928+1788Esko Hukkanen
14.4848
9929+1788Suomalaisten haploryhmän tyypit
36.3302
9930-2434Kannelmäki
36.1808
9931-1435Astevaihtelu
16.5051
9932+7245Prekariaatti
13.3417
9933-2815James Hirvisaari
45.4704
9934-2699Myyrät
27.0932
9935+3366Pariisin Kevät
16.1316
9936-1535Pulssinleveysmodulaatio
3.4144
9937+3126Woodrow Wilson
24.6457
9938-1158Helloween
71.5491
9939+944Järjestäytynyt rikollisuus
18.31
9940+5093Bioottiset ympäristötekijät
18.3945
9941-2838Metallisidos
9.4668
9942+5898Höyrynpaine
3.8058
9943-4085Jukka Nevalainen
18.2744
9944+1519Roald Dahl
27.9828
9945-868Ruokolahti
44.9655
9946-2727Jumalanpalvelus
30.9479
9947+2374CAS-numero
2.6496
9948-429Tic-liike
24.9905
9949+1872Poliittinen keskusta
28.2473
9950-3024Suomussalmen taistelu
19.4893
9951-4696Hämähäkkimies
55.1892
9952-1753Saska Saarikoski
22.7558
9953-1602Miekka
21.8792
9954-478Suomen tienumerointijärjestelmä
40.8659
9955+1908Medialukutaito
16.7956
9956+277Kuppaus
29.2343
9957-1692Ajoneuvo
29.4725
9958+3387PTC-termistori
3.6975
9959+5453Biomi
11.7153
9960+1880Teilaus
5.6138
9961-2140Jarkko Ahola
22.9561
9962-1230Sairaus
17.1041
9963-1540Korkeasaari
42.7886
9964-52Noormarkku
34.5466
9965+1668Evankelinen herätysliike
8.0124
9966-3350Diftongi
29.8539
9967-3307John Travolta
16.9974
9968+3993Valtioneuvoston linna
27.4622
9969-1490Mandariinikiina
28.3048
9970-139Tahdosta riippumaton psykiatrinen sairaalahoito Suomessa
43.4015
9971+4593Venäjän ilmavoimat
35.4098
9972-4646Per Vers, runoilija
20.273
9973-519Yhdysvaltain presidentinvaalit 2016
69.64
9974+7Dyspraksia
27.3416
9975+623Björn Borg
37.5518
9976-253Topologia (matematiikka)
17.1702
9977-1250Roskasakki
10.7771
9978-913Pegasos
19.1731
9979-2378Perestroika
17.7269
9980-4479Atomiydin
19.7244
9981-689Teuva
49.209
9982+1836Tenho Saurén
21.1258
9983-869Keskonen
20.5741
9984+2271Joel Hallikainen
37.9845
9985-5243Robert Kardashian
9.3483
9986+1720Myyrmäki
78.4929
9987-692Bulimia nervosa
36.0666
9988-2044B6-vitamiini
15.0719
9989-1498Alhambra
55.8441
9990-4189Solo (vuoden 2018 elokuva)
68.7021
9991-1699Nimismies
23.7038
9992+920Lari Väänänen
21.3649
9993-1962Konetekniikka
14.7067
9994+1341Alissa Nikkinen
18.7893
9995-961Haploryhmä N (Y-DNA)
24.6556
9996-615Oneworld
42.2303
9997-348Seili
40.4556
9998+757Maistraatti
15.9408
9999-3042Interstellar
22.5097
10000-2731Endless Forms Most Beautiful
32.0782
<< < 9701-9800 | 9801-9900 | 9901-10000

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About WikiRank

The project is intended for automatic relative evaluation of the articles in the various language versions of Wikipedia. At the moment the service allows to compare over 38 million Wikipedia articles in 55 languages. Quality scores of articles are based on Wikipedia dumps from March, 2019. When calculating popularity, view statistics of articles for last month (February 2019) were taken into account.

You can also visit WikiRank.Live (previous version of the main tool), which can calculate quality and popularity based on current versions of Wikipedia articles in 7 languages.

It's planned to add different improvements to the project (such as adding to the analysis not only new quantitative characteristics, but also qualitative). In addition, it is planned to add estimates using machine learning algorithms and artificial intelligence, as well as based on the results of user comparison of specific multilingual information (for example, the WikiBest project). Please leave your comments and suggestions

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