Most Popular Stories for November 9, 2006

1. Top .NET Blogs (25 kicks)
2. Tip For Working With ASP.NET Web Projects (14 kicks)
3. Mono 1.2 Released (12 kicks)
4. Show all GridView Rows in EditMode (11 kicks)
5. More LINQ on Channel 9 & LINQ PDF from O'Reilly (11 kicks)
6. Safari and Firefox Support Improved in ASP.NET AJAX Beta2 (10 kicks)
7. Vista RTM Includes .NET 3.0, IIS7 (10 kicks)
8. New release of My Exposé, an Exposé-like application for Windows Vista (10 kicks)
9. How Deep are your Defenses? (10 kicks)
10. Two interesting things about C# strings (9 kicks)

Most Commented On Stories for November 9, 2006

1. Top .NET Blogs (4 comments)
2. Two interesting things about C# strings (4 comments)

Most Popular Tags for November 9, 2006

1. Vista (3 tags)
2. Aero (2 tags)
3. .Net (2 tags)
4. ASP.NET (2 tags)
5. cpp (2 tags)
6. DWM (2 tags)
7. IIS7 (2 tags)
8. SQL (2 tags)
9. Tip (2 tags)
10. Windows (2 tags)

Most Published Users for November 9, 2006

1. mshsl (3 stories)
2. sdhebert (2 stories)
3. spikysimon (1 story)
4. ShepherdWeb (1 story)
5. mikeon (1 story)
6. jongalloway (1 story)
7. mountaineer (1 story)
8. PeterRitchie (1 story)
9. ephemeron (1 story)
10. madd0 (1 story)

Most Popular Domains for November 9, 2006

1. www.webthingsconsidered.com (25 story kicks)
2. weblogs.asp.net (22 story kicks)
3. vaultofthoughts.net (14 story kicks)
4. aspadvice.com (11 story kicks)
5. steve.emxsoftware.com (11 story kicks)
6. www.shepherdweb.com (10 story kicks)
7. blogs.labo-dotnet.com (10 story kicks)
8. www.sitepoint.com (10 story kicks)
9. www.sql-server-performance.com (9 story kicks)
10. chrisfulstow.blogspot.com (9 story kicks)

Most Published Domains for November 9, 2006

1. weblogs.asp.net (2 stories)
2. blogs.msdn.com (1 story)
3. beyondthispoint.blogspot.com (1 story)
4. www.sql-server-performance.com (1 story)
5. www.sitepoint.com (1 story)
6. steve.emxsoftware.com (1 story)
7. www.webthingsconsidered.com (1 story)
8. msmvps.com (1 story)
9. chrisfulstow.blogspot.com (1 story)
10. blogs.labo-dotnet.com (1 story)

Aggregate statistics are based on the item date. For example, the number of kicks listed is based on the exact time period and are totalled without regard to the story's submission date.

Story lists are calculated based on the the story's submission date.