1.		@nytimes	96.6 Influence	79.2 Impact	3.1% Generosity	100.0% Clout	34,252 Listed	Add Tags
2.		@veja	93.2 Influence	75.7 Impact	4.0% Generosity	100.0% Clout	5,868 Listed	Add Tags
3.		@marlonlwayans	91.7 Influence	78.4 Impact	55.4% Generosity	100.0% Clout	4,598 Listed	Add Tags
4.		@deepakchopra	90.1 Influence	75.0 Impact	58.1% Generosity	100.0% Clout	9,224 Listed	Add Tags
5.		@Gizmodo	88.3 Influence	68.2 Impact	0.0% Generosity	100.0% Clout	0 Listed	Add Tags
6.		@TMobile_USA	87.9 Influence	68.2 Impact	0.0% Generosity	100.0% Clout	1,406 Listed	Add Tags
7.		@retweetse	87.0 Influence	59.1 Impact	11.2% Generosity	100.0% Clout	527 Listed	Add Tags
8.		@guykawasaki	85.4 Influence	76.1 Impact	0.0% Generosity	99.9% Clout	16,910 Listed	Add Tags
9.		@SyFy	84.8 Influence	58.0 Impact	62.2% Generosity	100.0% Clout	2,810 Listed	Add Tags
10.		@nasa	84.4 Influence	71.3 Impact	25.0% Generosity	100.0% Clout	16,995 Listed	Add Tags

This list only includes folks who have been Twitalyzed in the last 30 days and who have been tagged “ff”.

Twitalyzer’s Benchmark report allows you to generate ranked lists of Twitter users based on their stated location and the tags that have been applied to their profile. By default the report lists the most influential people using Twitter based on their scores collected in the last 30 days.

We are using influential in the Benchmark, rather than the impact score we’ve moved to elsewhere in Twitalzyer because, honestly, “influence” is what people seem to gravitate towards. Wrong, perhaps, but we try and give the people what they want.

If you want to filter the benchmark simply click the “FILTER” button in the upper-right corner of the page and add location and/or tag information.