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Popular articles in April 2019 (201-300)

# Changes Title Quality
201+68Syrian civil war
41.9357
202-41Buffalo buffalo Buffalo buffalo buffalo buffalo Buffalo buffalo
22.5665
203+33List of gods and goddesses
11.6803
204-69Griffith's experiment
18.2743
205+1804Christian denomination
26.307
206+57Flute
52.8416
207+71Los Angeles
53.3848
208-67Atom
61.5135
209+51Solar energy
85.445
210-19Grass
27.4092
211+176Riemann zeta function
23.0113
212-10Zipf's law
24.0715
213-26Hydra (mythology)
18.5479
214+286Deaths in 2019
31.5715
215+39Republican Party (United States)
60.9736
216+6Nudity
79.5407
2170Leonardo da Vinci
95.4632
218-38Terrorism
35.2662
219+766Tesla (unit)
27.479
220-45Periwinkle (color)
22.6518
221-44Tree
80.378
222+8Cryptographic hash function
18.0311
223+95Id, ego, and super-ego
34.9413
224-35Internet
24.6942
225+28Stress (mechanics)
46.7741
226+255Feijoa
21.891
227-37List of Renaissance artists
55.4368
228-1California
66.0436
229+86Political parties in the United States
12.6825
230+13Natural resource
22.373
231-3Origin of life
81.2036
232+2Earthquake
49.5233
233-47List of U.S. states by population density
46.6667
234-20Carbon steel
36.612
235-24Mobile phone
47.4903
236+1List of cities in the United Kingdom
82.2222
237+45Vietnam War
54.7975
238+69United States dollar
41.4104
239+207Planck constant
72.1711
240-56Healthy lifestyle
23.592
241+4United States customary units
6.6998
242-49Louisiana Purchase
9.9922
243+104Doctor Who companions
38.95
244+341Time dilation
22.3456
245+135Chaos theory
11.6081
246-67List of Prime Ministers of the United Kingdom
9.3698
247+98Constitutional republic
21.8361
248-51French Revolution
57.0
249-33Food
33.2605
250-21DNA
61.0353
251+69Slave and free states
59.9067
252+25Russia
89.0326
253+192Party realignment in the United States
13.1154
254+42Web application
16.9477
255+29Adolf Hitler
84.5257
256-35Wall Street Crash of 1929
28.461
257-6Square metre
19.928
258+132Murder of Selena
69.6481
259-89Sikhism
35.4202
260-4Big Ben
34.5396
261+2893List of countries by GDP (nominal)
46.0958
262+23Sacred cow
31.0991
263+8Romeo and Juliet
50.4134
264+44Marxism
38.1607
265+61Christianity
92.5286
266+245Latin script
32.6507
267-49Spanish Inquisition
6.3216
268+32Taj Mahal
41.1059
269+95Pokémon (video game series)
36.3366
270-62Season
17.5539
271-77Cristiano Ronaldo
68.2857
272-30Culture
24.198
273-54History of chess
77.4832
274-43Auschwitz concentration camp
100.0
275-2Michelson–Morley experiment
17.6952
276-187Queen (band)
32.5719
277-12Binary fission
15.1706
278+135Adjective
18.7589
279-15England
48.4973
280-55Renaissance
52.9882
281-41Richter scale
25.0853
282-10Martin Luther King, Jr.
98.1571
283-45Profanity
23.3942
284+195Muhammad Iqbal
25.4337
285+134Brown v. Board of Education II
66.2749
286-129Volcanic eruption
12.9944
287-52States and territories of Australia
36.9309
288+16List of neighbourhoods of Chennai
21.8145
2890Space-time
37.8019
290+3Abrahamic religion
3.5148
291-1Elizabeth II
76.2532
292-24Plant
71.1843
293-46Sexual intercourse
62.5521
294+292Combined gas law
29.3111
295-51Legal precedent
46.8603
296-128Electricity
35.4784
297-2Movie
26.3554
298-48Enzyme
61.6177
299-118Sharia
87.0892
300+10List of cities in Italy
20.1913
<< < 1-100 | 101-200 | 201-300 | 301-400 | 401-500 > >>

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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 May, 2019. When calculating popularity, view statistics of articles for last month (April 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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