1.		@unmarketing	76.0 Influence	60.3 Impact	12.2% Generosity	100.0% Clout	3,648 Listed	Add Tags
2.		@sung_H_lee	38.1 Influence	30.1 Impact	100.0% Generosity	84.5% Clout	2,538 Listed	Add Tags
3.		@TRENDTRACKER	33.2 Influence	35.5 Impact	100.0% Generosity	56.2% Clout	2,999 Listed	Add Tags
4.		@xanpearson	20.3 Influence	16.7 Impact	100.0% Generosity	39.5% Clout	1,099 Listed	Add Tags
5.		@treypennington	8.4 Influence	24.5 Impact	48.7% Generosity	26.7% Clout	1,691 Listed	Add Tags
6.		@marketingveep	7.6 Influence	7.8 Impact	56.0% Generosity	14.8% Clout	322 Listed	Add Tags
7.		@JohnFMoore	6.8 Influence	9.8 Impact	56.4% Generosity	16.1% Clout	670 Listed	Add Tags
8.		@Socialnicole	6.7 Influence	9.0 Impact	72.1% Generosity	23.5% Clout	174 Listed	Add Tags
9.		@techguerilla	6.1 Influence	7.7 Impact	26.8% Generosity	25.3% Clout	102 Listed	Add Tags
10.		@correlationist	6.1 Influence	7.3 Impact	52.6% Generosity	23.3% Clout	99 Listed	Add Tags

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

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.