TOP 200 effective Steemit curators who are actively support newcomers (with reputation below 55) for the last week (2018.01.22-2018.01.28)

I want to share with you statistics about the most effective Steemit curators of the last week.

This statistic is not about how much the authors or curators have earned. This statistics shows the list of curators, whose contribution to the reward pool distribution is the most significant.

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What does this mean?

You can say that there is nothing interesting in this statistics. That it is clear that the reward pool is distributed by whales. But!

The most interesting thing is how the curator distributes the reward pool. He can vote only for his posts and his comments. He can vote for a selected circle of authors and affiliated accounts. But also he can vote for a large number of authors who publish interesting content.

Thus, an effective curator is a curator who has sufficient Steem Power (he can be an investor or a popular author who has earned his Steem Power by publishing interesting content), devoting time and effort to the content curating at Steemit and distributing a reward pool in favor of the authors. And the efficiency level is estimated by how much SBD curator distributes among as many authors as possible.

But this time we will talk about those curators, who are actively support newcomers. All of us know that it's not easy to become visible while you are a minnow even if you have a good content. Therefore, I believe that curators who actively support newcomers deserve a separate consideration and respect.

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How it works?

Votes - Each curator distributes a certain part of the reward pool with his votes (upvote / flag).

Authors - This part of the pool he distributes between a certain number of authors.

VAS (vote average strength) - For general awareness, we can estimate the average vote strength in percents (%), with which the curator votes.

Contr. (SBD) (Contribution in SBD) - The distributed part of the pool is the contribution of the curator, it is calculated in SBD. In this case, the author's reward is taken into account. The curator's reward is not taken into account.

Share % - The percentage of the of the curator contribution among the contributions of all curators, we can also estimate for information purposes in %.

Eff. - The effectiveness of the curator is estimated in conventional units and is calculated as follows.

The total number of authors who published their posts for the period under study is determined.
Then the contribution of the curator is divided by the total number of authors, and then multiplied by the number of authors for whom the curator voted for the period.

Thus, we see that, having distributed even a smaller number of SBD between a larger number of authors, the curator can be more effective than other curators. At the same time, having a greater voice power, but not actively voting, supporting a small number of authors, the curator takes a lower position in the rating.

And now, statistics.

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54285 authors with reputation below 55 published their posts during this day. And it's a 86% of all authors.

83712 accounts participated in curating the content of authors with reputation below 55. It's a 82% of all curators.

2545723 votes were made for the content of authors with reputation below 55 during this day. It's a 57% of all votes.

576147,78 SBD - is the total author rewards the content of authors with reputation below 55 for this day. It's a 22% of all rewards.

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TOP-200 effective curators for the last week (2018.01.22-2018.01.28)

№	Account	Votes	Authors	VAS(%)	Contr. (SBD)	Share %	Eff.
1	@good-karma	8736	3399	1	8944,73	1,55	560,07
2	@utopian-io	1727	562	2	45343,1	7,87	469,43
3	@hr1	7337	5138	0	4620,3	0,8	437,3
4	@hendrikdegrote	1909	1062	2	22265,51	3,86	435,59
5	@busy.org	9778	2359	0	4640	0,81	201,64
6	@surpassinggoogle	1607	922	3	9706,62	1,68	164,86
7	@pharesim	3787	2415	0	3437,18	0,6	152,91
8	@jerrybanfield	2194	942	1	6640,29	1,15	115,23
9	@dlive	407	182	7	24991,22	4,34	83,79
10	@ausbitbank	2031	1243	1	3302,08	0,57	75,61
11	@liberosist	1833	1030	2	2494,53	0,43	47,33
12	@dsound	260	141	8	17021,27	2,95	44,21
13	@curie	1915	1067	2	2219,11	0,39	43,62
14	@virus707	2608	698	1	2789,1	0,48	35,86
15	@dtube	253	193	8	8735,64	1,52	31,06
16	@roelandp	1321	848	1	1658,79	0,29	25,91
17	@meerkat	1832	1029	2	1183,44	0,21	22,43
18	@anwenbaumeister	1918	1064	2	954,68	0,17	18,71
19	@cheetah	8830	4582	0	197,95	0,03	16,71
20	@candyman	755	467	10	1702,67	0,3	14,65
21	@allaz	1465	652	2	1179,79	0,2	14,17
22	@dmania	105	72	38	10523,87	1,83	13,96
23	@anomadsoul	468	347	4	2090,33	0,36	13,36
24	@teamsteem	379	324	4	2148,85	0,37	12,83
25	@mustard	608	399	13	1465,56	0,25	10,77
26	@lafona-miner	343	298	8	1808,64	0,31	9,93
27	@cervantes	303	259	11	1975,93	0,34	9,43
28	@mercurybot	1012	561	4	908,16	0,16	9,39
29	@kevinwong	465	296	6	1721,39	0,3	9,39
30	@cqf	5307	3391	1	149,36	0,03	9,33
31	@ipromote	585	358	6	1367,94	0,24	9,02
32	@qurator	1160	360	2	1060,06	0,18	7,03
33	@woo7739	426	350	9	933,42	0,16	6,02
34	@esteemapp	2792	2760	0	111,68	0,02	5,68
35	@imacryptorick	278	188	28	1510,88	0,26	5,23
36	@acidyo	135	127	13	2218,27	0,39	5,19
37	@grandpawhale	666	533	2	516,61	0,09	5,07
38	@planter	327	190	22	1439,84	0,25	5,04
39	@shaka	235	186	16	1425,37	0,25	4,88
40	@ubg	8548	6573	1	39,6	0,01	4,79
41	@twinner	703	402	12	639,08	0,11	4,73
42	@soyo	687	249	7	970,55	0,17	4,45
43	@damarth	237	212	7	1135,26	0,2	4,43
44	@bid4joy	658	427	6	537,79	0,09	4,23
45	@peaceandlove	87	71	21	3075,75	0,53	4,02
46	@upmewhale	610	396	4	542,94	0,09	3,96
47	@skan	132	97	20	2116,52	0,37	3,78
48	@adriatik	647	411	5	492,06	0,09	3,73
49	@dakfn	330	178	17	1060,2	0,18	3,48
50	@tumble	737	260	5	706,91	0,12	3,39
51	@arama	76	64	57	2590,58	0,45	3,05
52	@nado.bot	547	380	7	410,06	0,07	2,87
53	@shares	537	370	8	418,92	0,07	2,86
54	@bramd	112	65	50	2355,06	0,41	2,82
55	@s4s	179	92	18	1649,93	0,29	2,8
56	@minnowvotes	530	366	8	410,31	0,07	2,77
57	@heiditravels	301	257	11	564,51	0,1	2,67
58	@kushed	1969	1080	2	133,76	0,02	2,66
59	@pgarcgo	299	255	11	554,96	0,1	2,61
60	@arcange	1468	889	2	157,85	0,03	2,59
61	@bayanihan	612	322	11	434,24	0,08	2,58
62	@bleepcoin	461	366	20	380,56	0,07	2,57
63	@jhyun6913.park	265	194	23	709,83	0,12	2,54
64	@kusadasi	195	172	6	800,87	0,14	2,54
65	@canadian-coconut	71	48	24	2756,61	0,48	2,44
66	@cryptoctopus	81	47	29	2796,66	0,49	2,42
67	@midnas-howler	125	109	33	1182,13	0,21	2,37
68	@justtryme90	294	266	5	470,34	0,08	2,3
69	@levycore	386	205	9	608,3	0,11	2,3
70	@aomura	2316	283	92	431,57	0,07	2,25
71	@ryacha21	1210	545	87	215,74	0,04	2,17
72	@noctisk	264	141	21	813,02	0,14	2,11
73	@seakraken	669	426	7	269,05	0,05	2,11
74	@cryptomancer	94	86	45	1326,92	0,23	2,1
75	@mbp	217	116	25	975,24	0,17	2,08
76	@sndbox	64	50	18	2241,42	0,39	2,06
77	@steepshot	462	210	99	520,72	0,09	2,01
78	@staticinstance	811	532	2	202,42	0,04	1,98
79	@resteemable	4830	998	1	104,37	0,02	1,92
80	@purepinay	846	373	4	271,92	0,05	1,87
81	@gargon	297	254	11	397,47	0,07	1,86
82	@hongyeol	300	171	17	583,54	0,1	1,84
83	@steemgigs	5224	1287	18	75,8	0,01	1,8
84	@slowwalker	95	85	8	1116,52	0,19	1,75
85	@cryptopassion	59	53	23	1777,42	0,31	1,74
86	@openmic	307	289	10	323,95	0,06	1,72
87	@onequality	221	108	31	845,4	0,15	1,68
88	@lyndsaybowes	387	145	7	620,93	0,11	1,66
89	@anomaly	5306	4304	1	20,77	0	1,65
90	@bhuz	36	35	66	2544,26	0,44	1,64
91	@upyou	453	340	7	259,7	0,05	1,63
92	@lays	155	93	19	947,03	0,16	1,62
93	@cron	278	271	5	306,37	0,05	1,53
94	@passive	85	80	40	1035,87	0,18	1,53
95	@blockops	120	107	45	734,82	0,13	1,45
96	@feruz	5192	3110	1	24,58	0	1,41
97	@tincho	175	143	34	531,51	0,09	1,4
98	@rocky1	104	50	7	1494,83	0,26	1,38
99	@beanz	78	59	75	1224,14	0,21	1,33
100	@lee2	573	228	12	305,06	0,05	1,28
101	@dlivestarbooster	2585	567	5	122,99	0,02	1,28
102	@redpalestino	229	160	22	423,15	0,07	1,25
103	@upvotewhale	508	216	7	314,41	0,05	1,25
104	@anu	162	141	36	476,74	0,08	1,24
105	@sjmstem	66	65	100	1029,94	0,18	1,23
106	@davidding	45	39	43	1685,31	0,29	1,21
107	@danihwang	340	209	10	311,47	0,05	1,2
108	@estream.studios	160	140	36	457,33	0,08	1,18
109	@steemitboard	4696	4196	1	14,63	0	1,13
110	@howtostartablog	563	423	9	145,19	0,03	1,13
111	@luzcypher	371	308	18	195,36	0,03	1,11
112	@ebargains	134	122	30	486,36	0,08	1,09
113	@robertking	166	141	38	420,65	0,07	1,09
114	@getboost	480	331	9	168,98	0,03	1,03
115	@noisy	66	60	70	913,04	0,16	1,01
116	@picokernel	131	116	45	465,43	0,08	0,99
117	@hwawol	117	103	12	518,28	0,09	0,98
118	@teamhumble	789	610	2	86,14	0,01	0,97
119	@rok-sivante	77	70	66	753,24	0,13	0,97
120	@starkerz	81	69	44	757,74	0,13	0,96
121	@shaffrimohd	1186	540	96	94,29	0,02	0,94
122	@sweetsssj	50	40	7	1267,56	0,22	0,93
123	@shiho	156	110	11	450,79	0,08	0,91
124	@firepower	239	155	16	315,3	0,05	0,9
125	@ogoowinner	145	113	57	418,06	0,07	0,87
126	@centering	226	78	14	596,51	0,1	0,86
127	@naijaboost	241	220	21	210,56	0,04	0,85
128	@moisesmcardona	1346	1148	2	39,57	0,01	0,84
129	@clayop	35	28	63	1577,42	0,27	0,81
130	@vortac	115	53	18	826,12	0,14	0,81
131	@nkkb	400	135	15	327,23	0,06	0,81
132	@techslut	185	107	19	404,31	0,07	0,8
133	@ibb	144	103	32	414,48	0,07	0,79
134	@bigdeej	866	584	2	72,64	0,01	0,78
135	@sleeplesswhale	324	213	14	194,47	0,03	0,76
136	@coolguy123	770	567	4	72,82	0,01	0,76
137	@camilla	102	90	82	444,64	0,08	0,74
138	@xinnong	133	99	26	403,95	0,07	0,74
139	@abit	82	44	21	908,02	0,16	0,74
140	@ocd	85	84	41	462,51	0,08	0,72
141	@linuslee0216	1093	523	94	74,01	0,01	0,71
142	@donkeypong	65	55	8	690,95	0,12	0,7
143	@thisvsthis	86	59	12	636,82	0,11	0,69
144	@dexter-k	697	509	5	73,44	0,01	0,69
145	@dyuryul	188	47	25	800,16	0,14	0,69
146	@dineroconopcion	482	255	12	146,02	0,03	0,69
147	@reggaemuffin	47	32	24	1156,75	0,2	0,68
148	@jooyoung	211	173	19	209,45	0,04	0,67
149	@clains	72	69	68	522,88	0,09	0,66
150	@spotlight	611	325	3	107,78	0,02	0,65
151	@lukmarcus	927	336	5	104,57	0,02	0,65
152	@anadolu	209	183	18	193,76	0,03	0,65
153	@photocontests	4060	759	1	46,49	0,01	0,65
154	@alphacore	1765	1048	7	33,27	0,01	0,64
155	@maryfavour	118	96	54	362,5	0,06	0,64
156	@aiqabrago	230	158	15	213,48	0,04	0,62
157	@steemstem	146	104	19	325,56	0,06	0,62
158	@gbenga	131	86	57	392,8	0,07	0,62
159	@jgcastrillo19	297	254	11	130,52	0,02	0,61
160	@cryptos	684	659	5	50,01	0,01	0,61
161	@jack8831	139	77	20	420,09	0,07	0,6
162	@steembloggers	300	202	17	160,36	0,03	0,6
163	@leesol	85	76	23	422,97	0,07	0,59
164	@brianyang0912	249	154	68	202,74	0,04	0,58
165	@bescouted.com	540	116	7	269,93	0,05	0,58
166	@choogirl	357	161	5	191,63	0,03	0,57
167	@ethandsmith	805	303	3	99,87	0,02	0,56
168	@leemikyung	108	87	14	340,59	0,06	0,55
169	@puncakbukit	2406	1671	1	17,89	0	0,55
170	@welcoming	95	95	34	316,86	0,05	0,55
171	@coincentrado	237	219	13	132,24	0,02	0,53
172	@adjs20	175	68	71	421,18	0,07	0,53
173	@kmlee	69	41	38	698,41	0,12	0,53
174	@onepine	243	139	23	208,93	0,04	0,53
175	@opheliafu	141	138	27	206,02	0,04	0,52
176	@steps	139	117	50	237,18	0,04	0,51
177	@onceuponatime	36	19	80	1454,02	0,25	0,51
178	@renzoarg	1145	625	2	43,59	0,01	0,5
179	@lichtblick	239	164	4	162,72	0,03	0,49
180	@taskmanager	118	59	27	452,21	0,08	0,49
181	@rbaggo	390	141	9	190,29	0,03	0,49
182	@goldendawne	229	132	21	202,88	0,04	0,49
183	@cecicastor	418	219	30	116,44	0,02	0,47
184	@luisucv34	324	278	17	92,71	0,02	0,47
185	@roadscape	55	40	10	624,42	0,11	0,46
186	@rivalhw	104	58	18	430,21	0,07	0,46
187	@dong262514	136	110	49	226,81	0,04	0,46
188	@exposez	499	417	6	58,2	0,01	0,45
189	@liondani	58	40	100	614,49	0,11	0,45
190	@lukestokes	75	74	21	324,59	0,06	0,44
191	@morwhale	349	122	13	194,22	0,03	0,44
192	@sean-king	32	16	69	1483,77	0,26	0,44
193	@abigail-dantes	100	73	21	329,83	0,06	0,44
194	@nxtblg	91	71	19	327,66	0,06	0,43
195	@thing-2	65	64	100	362,92	0,06	0,43
196	@asbear	164	105	11	215,26	0,04	0,42
197	@destinysaid	116	72	59	317,72	0,06	0,42
198	@benchmark	102	80	49	286,09	0,05	0,42
199	@gentlebot	64	63	100	354,89	0,06	0,41
200	@adept	66	59	42	377,76	0,07	0,41

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I took all vote bots (most of them are working like pay for vote) in the separate table. Because we can't call them effective curators. Their work depends on authors payments and activity.
If you know another bots in the list above please tell me about it.

№	Account	Votes	Authors	VAS(%)	Contr. (SBD)	Share %	Eff.
1	@upme	2338	963	1	27824,33	4,83	493,6
2	@appreciator	1578	699	1	17726,48	3,08	228,25
3	@postpromoter	1650	770	1	14759,39	2,56	209,35
4	@buildawhale	1369	697	1	15876,12	2,76	203,84
5	@boomerang	1154	652	2	6469,79	1,12	77,71
6	@randowhale	1576	552	1	7068,33	1,23	71,87
7	@booster	1269	595	1	6129,14	1,06	67,18
8	@minnowsupport	5600	2563	1	1042,89	0,18	49,24
9	@upmyvote	1012	539	3	4882,49	0,85	48,48
10	@pushup	1074	531	3	4761,24	0,83	46,57
11	@sneaky-ninja	1103	571	2	3133,91	0,54	32,96
12	@minnowhelper	1448	718	3	1445,3	0,25	19,12
13	@aksdwi	574	339	5	1572,42	0,27	9,82
14	@minnowbooster	105	82	18	4831,37	0,84	7,3
15	@drotto	4856	1199	1	161,38	0,03	3,56
16	@smartsteem	590	378	5	495,46	0,09	3,45
17	@levitation	533	367	5	438,05	0,08	2,96
18	@msp-bidbot	513	344	6	338,57	0,06	2,15
19	@upgoater	490	362	7	300,94	0,05	2,01
20	@lovejuice	546	325	8	298,53	0,05	1,79
21	@hellowhale	379	284	10	264,02	0,05	1,38
22	@kittybot	532	337	7	164,76	0,03	1,02
23	@mrswhale	300	238	12	155,87	0,03	0,68
24	@msp-lovebot	1819	182	4	168,17	0,03	0,56
25	@moneymatchgaming	416	275	11	107,1	0,02	0,54

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Now you know all these heroes. Their work attracts new authors in Steemit. These people keep the majority of the newcomers on the platform and give them hope.

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Information sources

All information is prepared by querying data from a SteemSQL - SQL database containing information from Steem's blockchain, as well as by calculations based on this data.

Special thanks to @arcange for SteemSQL and for the advice provided to me during the development of this project.